COMLAB

DIGITAL SIGNAL PROCESSING
MULTIMEDIA & OPTICAL COMMUNICATIONS

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Software Defined Radio
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Augmented reality
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Plenoptics
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Multimedia quality
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Multimedia security
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Localization
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VANET, Visible Light Communication, Nano-scale communication

Saturday, 30 September 2023

Welcome to the Comlab Laboratory

Comlab is dedicated to the study of telecommunication and multimedia systems, with particular attention to the security and evaluation aspects of the Quality of Experience of the New Immersive Systems
It is part of the Department of Industrial, Electronic and Mechanical Engineering at University Roma TRE located in Roma, Italy

It is directed by Prof. Alessandro Neri

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Comlab

Indoor positioning - ION-PNT 2017 - Honolulu

2nd Workshop on Molecular Communications - H2020 FETOpen CIRCLE Project 2016 - Dublin

4 GPUs equipped deep learning PC

Elicopter simulator team

IEEE WiMob 2017 - Rome

Elicopter simulator in action

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Roma Tre booth at Maker Faire 2016

ICIP 2017 - Bejing

Roma Tre Radio is a reality

Lesson about SDR technologies

Maker Faire 2016

Testing the Oculus Rift

Smart Desk at Maker Faire 2014

Mobile Social Networks - IEEE PIMRC 2018 - Bologna

Meteo Station team

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1st Workshop on Molecular Communications - H2020 FETOpen CIRCLE Project 2016 - Cambridge

Smart desk team

Smart work using Smart Desk

3D photo scanner in action

4cameras testing at Cinecitta World

WiMob 2017

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Comlab at Maker Faire 2016

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Lytro camera

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3rd Workshop on Optical Wireless Communications - IEEE ICC 2017 - Paris

Webpage content updated to: 14 March 2022 09:42

Our research topics

Deep Learning

Deep learning is part of a broader family of machine learning methods based on learning data representations, as opposed to task-specific algorithms

Deep Learning

Machine learning is an expression used to describe systems that automatically learn to make predictions about some attributes of a data instance, such as the content of a picture or the evolution of the stock market, from a set of training data.

Deep learning describes a set of recent advancements in the fields of neural network, specifically referring to architectures and techniques leveraging an high number of hidden layers, thus described as deep neural networks.

Deep learning currently represents the state of the art in many machine learning tasks, especially in computer vision tasks, where deep architectures obtain super-human performances.

Deep neural networks have also enabled a number of surprising tasks, such as the generation of images from text descriptions and models that generate new deep architectures.

COMLAB’s publications about Deep Learning are:

F. Colangelo, F. Battisti, M. Carli, A. Neri and F. Calabrò, "Enhancing audio surveillance with Deep Neural Networks" Advanced Video and Signal based Surveillance (AVSS) 2017, Lecce

Fig. A simple, fully-connected, deep neural network with three hidden layers

Fig. Architecture of a convolutional layer, one of the most important building blocks of deep neural networks

Internet of Things

A way of putting in communication billions of common objects

Internet of Things

In recent years, a huge amount of devices are connected to the Internet more than people. In 2020 there will be 50 billions of "things" connected to the Internet. It is then foreseen to have 7 devices per person. This has carried out to the evolution of a new emerging paradigm, namely the Internet of Things (IoT). In IoT scenarios, a large number of devices – and more in general objects – are seamlessly connected to each another for information sharing through the Internet.

Due to the huge amount of heterogeneous devices, information sharing among IoT devices is one of the biggest challenges. Classic Internet approaches need to be revised to address the complex requirements imposed by IoT. This asks for the development of intelligent algorithms for routing, information sharing security, novel network paradigms, new services, and advanced techniques for data fusion.

Among the main IoT applications we cite:

Transportation and logistic domain: inventory, product management, object tracking, parking/traffic, etc.;
Health-care domain: data collection, person/medicine tracking, etc.;
Smart cities domain: [industrial/company side] energy and smart grid, smart metering, industrial plants, infrastructure/utilities, agriculture; [people side] smart home, smart building, environmental monitoring, security (e.g. fire and elevators) and surveillance, heating, ventilating and air-conditioning (i.e., HVAC), lighting, sensors (e.g. temperature, humidity, gases presence), etc.;
Personal and social domain: entertainment, social networking, personal objects (losses, thefts), appliances, etc.

COMLAB’s publications about IoT are:

C. Razafimandimby, V. Loscrì and A.M. Vegni, "Towards efficient deployment in Internet of Robotic Things", Integration, Interconnection, and Interoperability of IoT Systems, R. Gravina, C.E. Palau, M. Manso, A. Liotta, and G. Fortino (Eds.), pp. 21-37, Springer, 2017, ISBN 978-3-319-61300-0
R. Giuliano, F. Mazzenga, A. Neri and A.M. Vegni, "Security Protocols for IoT Access Networks", Security and Privacy in Internet of Things (IoTs): Models, Algorithms, and Implementations, F. Hu (Ed.), Taylor & Francis LLC, CRC Press, March 15, 2016, ISBN: 9781498723183
R. Giuliano, F. Mazzenga, A. Neri and A.M. Vegni, "Security Access Protocols in IoT Capillary Networks", IEEE Internet of Things Journal, Vol. 4, no. 3, pp. 645-657, June 2017, doi: 10.1109/JIOT.2016.2624824
C. Razafimandimby, V. Loscrì, A.M. Vegni and A. Neri, "Efficient Bayesian Communication Approach For Smart Agriculture Applications", Proc. of IEEE 86th Vehicular Technology Conference: VTC2017-Fall, 24-27 September 2017, Toronto, Canada
C. Razafimandimby, V. Loscrì, A.M. Vegni and A. Neri, "A Bayesian and Smart Gateway Based Communication For Noisy IoT Scenario", Proc. of International Conference on Computing, Networking and Communications (ICNC): Wireless Ad hoc and Sensor Networks (ICNC 2017), Silicon Valley, USA, Jan. 26-29, 2017
A.M. Vegni, V. Loscrì, A. Neri and M. Leo, "A Bayesian Packet Sharing Approach for Noisy IoT Scenarios", Proc. of 1st Intl. Workshop on Interoperability, Integration, and Interconnection of Internet of Things Systems (I4T 2016), in conjunction with the 1st IEEE Intl. Conf. on Internet-of-Things Design and Implementation (IoTDI 2016), April 6-8, 2016, Berlin, Germany
C. Razafimandimby, V. Loscrì and A.M. Vegni, "A neural network and IoT based scheme for performance assessment in Internet of Robotic Things", Proc. of 1st Intl. Workshop on Interoperability, Integration, and Interconnection of Internet of Things Systems (I4T 2016), in conjunction with the 1st IEEE Intl. Conf. on Internet-of-Things Design and Implementation (IoTDI 2016), April 6-8, 2016, Berlin, Germany

Fig. A schematic of IoT network

Fig. Modified PEACH (Predicting frost events in peach orchards using IoT technology) network architecture

Localization

Multimedia Quality Assessment

Multimedia Quality assessement

Multimedia Quality Assessment

Multimedia quality

COMLAB’s publications about multimedia quality are:

J. Gutiérrez, P. Paudyal, M. Carli, F. Battisti, and P. Le Callet, "Perceptual analysis and characterization of light field content", in VQEG eLetter, vol. 3, Issue 1, November 2017.
P. Paudyal, F. Battisti, M. Sjostrom, R. Olsson, and M. Carli, "Towards the Perceptual Quality Evaluation of Compressed Light Field Images", IEEE Transactions on Broadcasting, vol.PP, no.99, pp.1-16, doi: 10.1109/TBC.2017.2704430
P. Paudyal, F. Battisti, and M. Carli, "Evaluation of the Effects of Transmission Impairments on Perceived Video Quality by exploiting ReTRiEVED Dataset", Journal of Electronic Imaging, 26(2), 023003 (Mar 08, 2017). doi:10.1117/1.JEI.26.2.023003.
F. Battisti and P. Le Callet, "Quality Assessment in the context of FTV: challenges, first answers and open issues", IEEE COMSOC MMTC Communications - Frontiers, Vol.11, No.2, March 2016.
P. Paudyal, F. Battisti, and M. Carli, "Impact of video content and transmission impairments on quality of experience", Multimedia Tools and Applications, Springer, pp 1-25, January 2016. DOI: 10.1007/s11042-015-3214-0.
N. Ponomarenko, L. Jin, O. Ieremeiev, V. Lukin, K. Egiazarian, J. Astola, B. Vozel, K. Chehdi, M. Carli, F. Battisti, C.-C. J. Kuo, "Image database TID2013: Peculiarities, results and perspectives", Signal Processing: Image Communication, doi:10.1016/j.image.2014.10.009,
F. Battisti, E. Bosc, M. Carli, P. Le Callet, S. Perugia, "Objective image quality assessment of 3D synthesized views", Signal Processing: Image Communication, doi:10.1016/j.image.2014.10.005.
F. Battisti, M. Carli, and A. Neri, "No reference quality assessment for MPEG video delivery over IP", EURASIP Journal on Image and Video Processing 2014, 2014:13.
F. Battisti, M. Carli, E. Mammi and A. Neri, "A study on the impact of AL-FEC techniques on TV over IP Quality of Experience", EURASIP Journal on Advances in Signal Processing 2011, 2011:86 doi:10.1186/1687-6180-2011-86
N. Ponomarenko, V. Lukin, A.Zelensky, K.Egiazarian, J. Astola, M. Carli, and F. Battisti, "TID2008 – A database for evaluation of full-reference visual quality assessment metrics", Journal on Achivements in Modern Radio Electronics, no. 10, pp: 30-45, October 2009

Multimedia Security

Multimedia security

COMLAB’s publications about multimedia security are:

F. Battisti, M. Carli, F. Pascucci, "Securing Cyber Physical Systems from injection attacks by exploiting random sequences", Proc. 13th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 9-11 October, 2017, Rome, Italy
G. Boato, M. Carli, F. Battisti, M. Azzoni and K. Egiazarian, "Difference expansion and prediction for high bit-rate reversible data hiding", Journal of Electronic Imaging 21, 033013 (2012), DOI:10.1117/1.JEI.21.3.033013
M. Cancellaro, F. Battisti, M. Carli, G. Boato, F.G.B. De Natale, A. Neri, "A commutative digital image watermarking and encryption method in the tree structured Haar transform domain," Signal Processing: Image Communication, Volume 26, Issue 1, January 2011, Pages 1-12
F. Battisti, M. Cancellaro, G. Boato, M. Carli, and A. Neri, "Joint Watermarking and Encryption of Color Images in the Fibonacci-Haar Domain," EURASIP Journal on Advances in Signal Processing, vol. 2009, Article ID 938515, 13 pages, 2009. doi:10.1155/2009/938515

Nano-scale Communications

The last few years have seen the development and diffusion of miniature nanoscale devices such as nanobots and nanoparticles that need to be able to communicate with each other and with other devices

Nano-scale Communications

Molecular communications

In the past few years, nanotechnology has emerged as an evolution of technology enabling the design of miniaturized nanoscale devices, i.e., nanorobots and nanoparticles. The behaviors and characteristics of nanodevices distinguish them from the well-known features of devices at the macroscale level. A nanodevice is the most basic functional unit, allowed to perform very easy tasks, like sensing or actuation, due to the passive nature of these devices.

A set of nanodevices, sharing the same medium (e.g., the human blood flow) and collaborating on a common task (e.g., to deliver a drug concentration to a receptor), forms a nanonetwork. Nanonetworks are expected to expand the capabilities of single nanodevices and then to enable new nanotechnology applications in several fields.

Communication and signal transmission techniques occurring in nanonetworks are challenging topics, due to the limited computation skill of nanodevices. Molecular communication is largely exploited for nanonetworks. This is a novel communication paradigm, envisaged as the most practical way in which nanorobots can communicate with each other by the use of molecules as information carriers.

THz-band communications

Still in the context of nano-scale communications, the potentialities of the Terahertz (THz) frequency band are largely increasing, thanks to specific features that allow issues related to the spectrum scarcity and capacity limitation to be overcome.

The Terahertz band has been identified in the range (0.06 − 10) THz and represents one of the most promising spectrum bands to enable ultra-high-speed communications. Also, since existing channel models adopted for lower frequency bands are unsuitable for THz communications, the need of novel channel models specific for this frequency range is a challenge. Differently from traditional lower frequency bands, where the propagation is mainly influenced by the spreading loss only, the physical mechanisms in a THz-band wireless transmission are a very high molecular absorption loss, spreading loss and molecular absorption loss.

COMLAB is involved in several initiatives about nano-scale communications, such as:

The 4th ACM International Conference on Nanoscale Computing and Communication, Washington D.C., USA, September 2017. Link
The 3rd ACM International Conference on Nanoscale Computing and Communication, New York, New York, USA, September 28-30, 2016. Link
Special Track "Body Area NanoNetworks: Electromagnetic, Materials and Communications (BANN-EMC)", in conjunction with 10th International Conference on Body Area Networks, September 28-30, 2015 Sydney, Australia. Link
Special Track "Electromagnetic-Body Area NanoNETworks (E-BANNET)", in conjunction with 9th International Conference on Body Area Networks, September 29-October 1, 2014 London, Great Britain. Link

COMLAB’s publications about nano-scale communications are:

A.M. Vegni and V. Loscrì, "Analysis of the Chirality Effects on the Capacity of Wireless Communication Systems in the THz band," in IEEE Transaction on Wireless Communications, 2017, doi: 10.1109/TWC.2017.2754259
V. Loscrì and A.M. Vegni, "Capacity evaluation of a quantum-based channel in a biological context," in IEEE Transaction on Nanobioscience, vol. 15, no. 8, pp. 901-907, Dec. 2016. doi: 10.1109/TNB.2016.2620719
A.M. Vegni and V. Loscrì, "Chirality effects on channel modeling for THz-band wireless communications in LoS/NLoS propagation," Nano Communication Networks (Elsevier), Volume 10, December 2016, Pages 27-37, http://dx.doi.org/10.1016/j.nancom.2016.07.007
A.M. Vegni and V. Loscrì, "Characterization and Performance Analysis of a Chiral-Metamaterial Channel with Giant Optical Activity for Terahertz Communications" Nano Communication Networks (Elsevier), Volume 9, 1 September 2016, Pages 28-35
V. Loscrì, L. Matekovits, I. Peter and A.M. Vegni, "In-body Network Biomedical Applications: from Modeling to Experimentation," in IEEE Transaction on Nanobioscience, vol. 15, no. 1, pp. 53-61, Jan. 2016. doi: 10.1109/TNB.2016.2521386
V. Loscrì, A.M. Vegni and G. Fortino, "On the Interaction between a Nanoparticulate System and the Human Body in Body Area Nanonetworks," Micromachines 2015, 6(9), 1213-1235; doi: 10.3390/mi6091213
V. Loscrì and A.M. Vegni, "An Acoustic Communication Technique of Nanorobot Swarms for Nanomedicine Applications," IEEE Transaction on Nanobioscience, Volume 14, Issue 6, 1 September 2015, Pages 598-607, doi: 10.1109/TNB.2015.2423373, 2015
A.M. Vegni and V. Loscrì, "Performance of a Chirality-affected Channel exhibiting Giant Optical Activity for Terahertz Communications," in Proc. of 3rd ACM Intl. Conf. on Nanoscale Computing and Communication (ACM NANOCOM 2016), September 28-30, 2016, New York City, New York, USA
V. Loscrì and A.M. Vegni, "Channel Modeling in a Phonon-based Quantum Network for Nano-communications," in Proc. of 3rd ACM Intl. Conf. on Nanoscale Computing and Communication (ACM NANOCOM 2016), September 28-30, 2016, New York City, New York, USA
V. Loscrì, L. Matekovits, I. Peter and A.M. Vegni, "Modeling and Experimental Analysis of an In-body Area Nanonetwork," in Proc. of 10th Intl. Conf. on Body Area Networks (BODYNETS 2015), September 28-30, 2015 Sydney, Australia
V. Loscrì and A.M. Vegni, "On the Affection of the Human Immune System on a Nanoparticulate Nanomedicine System" in Proc. of 9th Intl. Conf. on Body Area Networks (BODYNETS 2014), September 29-October 1, 2014 London, Great Britain
R. Iovine, R. Tarparelli and A.M. Vegni, "Graphene Bow-tie Nanoantenna for Wireless Communications in the Tera-hertz Band," in Proc. of 1st ACM Intl. Conf. on Nanoscale Computing and Communication, May 13-14, 2014, Atlanta GA, USA
R. Iovine, R. Tarparelli and A.M. Vegni, "Detection of DNA alterations using Gold Nanoparticles exploiting the LSP phenomenon," in Proc. of 21st IEEE Intl. Conf. on Applied Electromagnetics and Communications (ICECOM), October 14-16, 2013, Dubrovnick, Croatia

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Optical wireless communications

A data communication whose main advantages are: free license, high data rates, security and no RF interference

Optical wireless communications

In recent years, wireless communications have significantly evolved due to the advanced technology of smartphones, portable devices and the rapid growth of Internet of Things, e-Health, Intelligent Transportation Systems and social networking. Forecasted by Cisco, the wireless mobile traffic will be dominant over the data network towards a new connected world in 2020, with also the upcoming 5G systems.

Optical Wireless Communications (OWC) are a complementary wireless communications technology to the more established radio frequency (RF) based systems such as cellular, Wi-Fi and Bluetooth in order to overcome the spectrum crunch and provide high data rates. The OWC technology offers advantages such as free license, wide bandwidth, inherent security and no RF-based interference, which makes it very attractive for the emerging 5G wireless communications. Nevertheless, the widespread deployment of optical wireless systems, namely infra-red, ultra-violet and visible light communications (VLC), will face a number of challenged including the weather effects (mostly outdoor), eye and skin safety regulations, compatibility with existing networks, mobility (mostly in outdoor environment), cost per device and volume and device/system performance.

COMLAB is involved in several initiatives about OWC systems, such as:

The 4th Optical Wireless Communications workshop at IEEE ICC 2018, 20-24 May 2018, Kansas City, MO, USA. Link
The 3rd Optical Wireless Communications workshop at IEEE ICC 2017, 21-25 May 2017, Paris, France. Link
The 2nd Optical Wireless Communications workshop at IEEE ICC 2016, 23-27 May 2016, Kuala Lumpur, Malaysia. Link
The 1st Workshop on Visible Light Communications and Networking (VLCN) at IEEE ICC 2015, 8 - 12 June 2015, London UK.
Emerging Technologies Track: Light-Based Communications and Positioning at IEEE VTC 2015, September 2015, Boston MA.

COMLAB’s publications about OWC systems are:

S. Pergoloni, Z. Mohammadi, A.M. Vegni, Z. Ghassemlooy and M. Biagi, "Metameric Indoor Localization Schemes using Visible Lights," in Journal of Lightwave Technology, vol. 35, no. 14, pp. 2933-2942, July 15, 2017, doi: 10.1109/JLT.2017.2706527
M. Rahaim, J. Jean-Michel, C. Morleo, R. McAllister, A.M. Vegni, A. Neri and T.D.C. Little, "A flexible SDR-based testbed for indoor visible light positioning," IEEE COMSOC MMTC Communications-Frontiers, pp. 23-28, Vol. 12, No. 3, May 2017
M. Hammouda, J. Peissig and A.M. Vegni, "A cognitive design of VLC networks," IEEE COMSOC MMTC Communications-Frontiers, pp. 34-38, Vol.12, No.3, May 2017
J. Lui, A.M. Vegni, L. Colace, C. Menon and A. Neri, "Toward an Experimental Testbed for RSS-based Indoor Visible Light Positioning," IEEE COMSOC MMTC Communications - Frontiers, Vol.12, No.3, pp. 19-22, May 2017, 2017
M. Biagi, S. Pergoloni and A.M. Vegni, "LAST: a framework to Localize, Access, Schedule and Transmit in Indoor VLC Systems," Journal of Lightwave Technology, vol.33, no.9, pp.1872,1887, May1, 1 2015
M. Biagi, A.M. Vegni, S. Pergoloni, P. Butala and T.D.C. Little, "Trace-Orthogonal PPM-Space Time Block Coding under Rate Constraints for Visible Light Communication," Journal of Lightwave Technology, vol.33, no.2, pp.481,494, Jan.15, 15 2015
A. Mostafa, A.M. Vegni, T. Oliveira, T.D.C. Little and D.P. Agrawal, "QoSHVCP: Hybrid Vehicular Communications Protocol with QoS Priorization for Safety Applications,"ISRN Communications and Networking, vol.2012, 14 pages, 2012
A.M. Vegni and T.D.C. Little, "Hybrid Vehicular Communications based on V2V-V2I Protocol Switching", Intl. Journal of Vehicle Information and Communication Systems (IJVICS), Vol. 2, Nos. 3/4, pp.213–231, 2011, DOI 10.1504/IJVICS.2011.044263
G. Manzacca, A.M. Vegni, X. Wang, N. Wada, G. Cincotti and K.i. Kitayama, “Performance Analysis of a Multiport Encoder/Decoder in OCDMA Scenario”, in IEEE Journal of Selected Topics in Quantum Electronics, vol. 13, no. 5, pp. 1415-1421, Sept.-oct. 2007
M. Hammouda, J. Peissig and A.M. Vegni, "Design of a Cognitive VLC Network with Illumination and Handover Requirements," in Proc. of 2017 IEEE Intl. Conf. on Communications Workshops (ICC Workshops), Paris, France, 2017, pp. 451-456. doi: 10.1109/ICCW.2017.7962699
S. Pergoloni, Z. Mohammadi, A.M. Vegni, Z. Ghassemlooy and M. Biagi, "Visible Light Indoor Positioning through Colored LEDs," in Proc. of 2017 IEEE Intl. Conf. on Communications Workshops (ICC Workshops), Paris, France, 2017, pp. 150-155. doi: 10.1109/ICCW.2017.7962649
M. Biagi and A.M. Vegni, "Enabling High Data Rate VLC via MIMO-LEDs PPM," in Proc. of 4th IEEE Globecom 2013 Workshop on Optical Wireless Communications (OWC), December 9, 2013, Atlanta GA, USA
A.M. Vegni and M. Biagi, "An Indoor Localization Algorithm in a Small-Cell LED-based Lighting System," in Proc. of 3rd Intl. Conf. on Indoor Positioning and Indoor Navigation (IPIN 2012), November 13-15, 2012, Sydney, Australia
M. Biagi, A.M. Vegni and T.D.C. Little, "LAT Indoor MIMO-VLC —Localize, Access and Transmit—," in Proc. of Intl. Workshop on Optical Wireless Communications (IWOW 2012), October 22, 2012, Pisa, Italy
A.M. Vegni and T.D.C. Little, "Handover in VLC Systems with Cooperating Mobile Devices," in Proc. of Mobility and Communication for Cooperation and Coordination workshop, part of the IEEE Intl. Conf. on Computing, Networking and Communications (ICNC 2012), January 30 - February 2, 2012, Maui, Hawaii, USA
M. Rahaim, A.M. Vegni and T.D.C. Little, "A Hybrid Radio Frequency and Broadcast Visible Light Communication System," in Proc. of IEEE Globecom 2011 2nd Workshop on Optical Wireless Communications (OWC 2011), December 5-9, 2011, Houston TX, USA
A. Mostafa, A.M. Vegni, R. Singoria, T. Oliveira, T.D.C. Little and D.P. Agrawal, "A V2X-based approach for reduction of delay propagation in Vehicular Ad-Hoc Networks," in Proc. of Intl. Workshop on Seamless Connectivity in Vehicular Networks, part of the 11th IEEE Intl. Conf. on ITS Telecommunications (ITST 2011), August 23-25, 2011, Saint-Petersburg, Russia

Plenoptics

A plenoptic camera, also known as light field camera

Plenoptics

Vehicular Ad-hoc networks

An emerging technology aimed at improving road safety in the event of driver mistakes or bad road conditions

Vehicular Ad-hoc networks

Nowadays, several automotive manufacturers are looking forward to reach the goals envisioned by Vision 2020 action plan. Particularly, in 2012 the European Commission tabled the CARS 2020 Action Plan, aimed at reinforcing this industry’s competitiveness and sustainability heading towards 2020. The CAR 2020 Action Plan is supported by CARS 21 (Competitive Automotive Regulatory System for the 21 st century) Group, which provides recommendations to help car industry reaching new focuses, particularly those ones addressed to road safety. Indeed, it is known that worldwide more than one million people are killed, or injured in traffic accidents every year, mainly due to drivers’ misbehavior and bad road conditions.

Wireless ad hoc networks for vehicular environment i.e., the Vehicular Ad hoc NETworks (VANETs) are a particular class of Mobile Ad hoc NETworks (MANETs), characterized by high (variable) vehicle speed, hostile propagation environment and quickly changing network topologies. Opportunistic routing has been extended to VANETs in order to disseminate information and improve connectivity among vehicles. Message propagation occurs through (i) Vehicle-to-Vehicle (V2V) links built dynamically, where any vehicle can be used as next hop, so to form an end-to-end path toward a final destination and (ii) Vehicle-to-Infrastructure (V2I) links, assuming ubiquitous deployment of fixed road-side units.

COMLAB is involved in several initiatives about VANETs, such as:

WiMob 2017: The 13th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications, Oct 9-11, 2017, Rome, Italy. Link
BalkanCom: Int. Balkan Conference on Communications and Networking, Tirana, Albania, June 1-3, 2017. Link
International Conference on Selected Topics in Mobile & Wireless Networking, "MoWNet 2016," 11-13 April, 2016, Cairo, Egypt. Link
International Conference on Civic Technologies for Smart Cities, "CivicTech 2015," collocated with Smart City 360 Summit, 13 October 2015, Bratislava, Slovakia.

COMLAB’s publications about VANETs are:

A.M. Vegni, V. Loscrì and A.V. Vasilakos, "Vehicular Social Networks" CRC Taylor & Francis Group, March 2017, ISBN: 9781498749190
A.M. Vegni and D.P. Agrawal, "Cognitive Vehicular Networks" CRC Taylor & Francis Group, February 2016, ISBN: 978-1498721912
A.M. Vegni and T.D.C. Little, "VANETs as an Opportunistic Mobile Social Network," in Opportunistic Mobile Social Networks, J. Wu and Y. Wang (Eds.), CRC Press, Taylor & Francis Group, August 2014
A.M. Vegni, C. Campolo, A. Molinaro and T.D.C. Little, "Modeling of Intermittent Connectivity in Opportunistic Networks: The Case of Vehicular Ad hoc Networks," in Routing in Opportunistic Networks, I. Woungang, S.K. Dhurandher, A. Anpalagan and A.V. Vasilakos (Eds.), Springer, 2013
A.M. Vegni, M. Biagi and R. Cusani, "Smart Vehicles, Technologies and main Applications in Vehicular Ad hoc Networks," in Vehicular Technologies - Deployment and Applications, Dr. L. Galati Giordano (Ed.), ISBN 978-953-51-0992-1, InTech, February 2013
A.M. Vegni and R. Cusani, "Connectivity Support in Heterogeneous Wireless Networks," in Recent Advances in Wireless Communications and Networks, ISBN 978-953-307-274-6, InTech, pages 454, August 2011
A.M. Vegni, T. Inzerilli and R. Cusani, "Seamless Connectivity Techniques in Vehicular Ad-hoc Networks," in Advances in Vehicular Networking Technologies, ISBN 978-953-307-241-8, InTech, pages 432, April 2011
A.M. Vegni and V. Loscrì, "A Survey on Vehicular Social Networks," IEEE Communications Surveys and Tutorials, vol.17, no.4, pp.2397-2419, Fourthquarter 2015, doi: 10.1109/COMST.2015.2453481, 2015
A.M. Vegni and E. Natalizio, "Forwarder Smart Selection Protocol for Limitation of Broadcast Storm Problem," in Journal of Networks and Computer Applications (Elsevier), Volume 47, January 2015, pp. 61-71, ISSN 1084-8045
A. Mostafa, A.M. Vegni and D.P. Agrawal, "A Probabilistic Routing by using Multi-hop Retransmission Forecast with Packet Collision-Aware Constraints in Vehicular Networks," Ad Hoc Networks (Elsevier) Journal, Volume 14, March 2014, pp. 118-129, ISSN 1570-8705, 2014
V. Palma and A.M. Vegni, "On the Optimal Design of a Broadcast Data Dissemination System over VANET providing V2V and V2I Communications —The Vision of Rome as a Smart City—," Journal of Telecommunications and Information Technology (JTIT), no.1, 2013 (MS 76412)
A. Mostafa, A.M. Vegni, T. Oliveira, T.D.C. Little and D.P. Agrawal, "QoSHVCP: Hybrid Vehicular Communications Protocol with QoS Priorization for Safety Applications,"ISRN Communications and Networking, vol.2012, 14 pages, 2012
A.M. Vegni and T.D.C. Little, "Hybrid Vehicular Communications based on V2V-V2I Protocol Switching", Intl. Journal of Vehicle Information and Communication Systems (IJVICS), Vol. 2, Nos. 3/4, pp.213–231, 2011, DOI 10.1504/IJVICS.2011.044263
A.M. Vegni, V. Loscrì and R. Petrolo, "SCARF: A SoCial-Aware Reliable Forwarding Technique for Vehicular Communications," in Proc. of 3rd Workshop on Experiences with the Design and Implementation of Smart Objects (SMARTOBJECTS 2017), in conjunction with ACM MobiCom 2017, October 16th, 2017, Snowbird, Utah, USA. INVITED PAPER
A. Mostafa, A.M. Vegni, A. Bandaranayake and D.P. Agrawal, "QoS-aware Node Selection Algorithm for Routing Protocols in VANETs" in Proc. of Intl. Conf. on selected topics in Mobile and Wireless Networking (MoWNet 2014), September 8-9, 2014, Rome, Italy
A.M. Vegni, A. Stramacci and E. Natalizio, "Opportunistic Clusters Selection in a Reliable Enhanced Broadcast Protocol for Vehicular Ad hoc Networks," in Proc. of 10th Annual Conf. on Wireless On-Demand Network Systems and Services (WONS 2013), March 18-20, 2013, Banff, Alberta, Canada
A.M. Vegni, A. Mostafa and D.P. Agrawal, "CAREFOR: Collision-Aware REliable FORwarding Technique for Vehicular Ad hoc Networks," in Proc. of Intl. Conf. on Computing, Networking and Communications (ICNC 2013), Mobile Computing & Vehicle Comm. Symp., January 28-31, 2013, San Diego, CA, USA
A.M. Vegni, A. Stramacci and E. Natalizio, "SRB: A Selective Reliable Broadcast Protocol for Safety Applications in VANET," in Proc. of Intl. Conf. on Selected Topics in Mobile & Wireless Networking (iCOST 2012), July 2-4, 2012, Avignon, France
A. Mostafa, A.M. Vegni, R. Singoria, T. Oliveira, T.D.C. Little and D.P. Agrawal, "A V2X-based approach for reduction of delay propagation in Vehicular Ad-Hoc Networks," in Proc. of Intl. Workshop on Seamless Connectivity in Vehicular Networks, part of the 11th IEEE Intl. Conf. on ITS Telecommunications (ITST 2011), August 23-25, 2011, Saint-Petersburg, Russia
V. Palma, E. Mammi, A.M. Vegni and A. Neri, "A Fountain Codes-based Data Dissemination Technique in Vehicular Ad-hoc Networks," in Proc. of Intl. Workshop on Seamless Connectivity in Vehicular Networks, part of the 11th IEEE Intl. Conf, on ITS Telecommunications (ITST 2011), August 23-25, 2011, Saint-Petersburg, Russia
A.M. Vegni and T.D.C. Little, "A Message Propagation Model for Hybrid Vehicular Communication Protocols," in Proc. of 2nd Intl. Workshop on Communication Technologies for Vehicles (Nets4Cars 2010), in 7th IEEE Intl. Symp. on Communication Systems, Networks and DSP (CSNDSP 2010), July 21-23, 2010, Newcastle, UK
F. Esposito, A.M. Vegni, I. Matta and A. Neri, "On Modeling Speed-Based Vertical Handovers in Vehicular Networks —Dad, slow down, I am watching the movie—," in Proc. of IEEE Globecom 2010 Workshop on Seamless Wireless Mobility (SWM 2010), December 6-10, 2010, Miami FL, USA
A.M. Vegni, C. Vegni and T.D.C. Little, "Opportunistic Vehicular Networks by Satellite Links for Safety Applications," accepted presentation (included in the proceedings) at The Fully Networked Car Workshop @ Geneva International Motor Show, Geneva, Switzerland, March 3-4, 2010

Webpage content updated to: 10 December 2018 15:27

Our courses

Bachelor

Semester: II
1 module
6 credits
42 hours

Internet & multimedia

Module
Internet & multimedia
Start 01/03/2019
Duration 42 hours
Code 20810059
End 14/06/2019
Language ITA
Channel Single
Credits 6
SSD ING-INF/03
Timetable Already finished
Certification Attestato di profitto
Type of course Traditional
Test
Type of activity Attivitï¿½ formative a scelta dello studente (art.10, comma 5, lettera a)
GOMP page link
Moodle page link
Teacher Marco Carli
Objectives
Il corso ha l'obiettivo di descrivere le caratteristiche dei sistemi di telecomunicazioni, a partire dalla rete telefonica alle reti per dati a commutazione di pacchetto alle reti wireless.
Verranno affrontati aspetti di prestazioni in funzione della qualitï¿½, del costo e della sicurezza dei servizi offerti.
Nel corso sarï¿½ dato ampio spazio ai sistemi per la trasmissione di segnali multimediali e al sistema Internet of Things (IoT).
Parte delle esercitazioni sarï¿½ dedicata al progetto ed alla realizzare dei sistemi di comunicazione IoT basati su microcontrollori e protocolli a basso consumo energetico
Contents
Argomenti del corso
- Architettura protocollare e modelli di servizio
- Modelli OSI e Internet
- Definizione di Internet
- Ritardo, sicurezza e Qualitï¿½ del Servizio (QoS)
- Protocolli di livello Applicativo e modello client-server
- Trasmissione affidabile. Livello di trasporto
- Principi di routing. Protocollo IP
- Strato di collegamento
- IEEE 802.3 Ethernet
- Livello fisico
- IEEE 802.11
- Introduzione alla sicurezza
Hot topics
- Sensor networks e Software Defined Networks
- Internet of Things
Realizzazione pratica di architettura IoT utilizzando schede basate su architettura Arduino-Fishino
Materials
- J. Kurose and K. Ross, Computer Networking: A Top-Down Approach, 6th edition (ISBN-13: 978-0132856201)

Bachelor

Semester: II
1 module
6 credits
48 hours

Laboratorio di multimedialitï¿½
(Multimedia laboratory)

Module
Laboratorio di multimedialitï¿½
(Multimedia laboratory)
Start 01/03/2019
Duration 48 hours
Code 20802061
End 31/05/2019
Language ITA
Channel Single
Credits 6
SSD ING-INF/03
Timetable Already finished
Certification Attestato di profitto
Type of course Traditional
Test Prova scritta
Type of activity Attivitï¿½ formative a scelta dello studente (art.10, comma 5, lettera a)
GOMP page link
Web page link
Moodle page link
Teacher Federica Battisti
Objectives
Il corso ha l'obiettivo di illustrare le metodologie piï¿½ avanzate per la caratterizzazione e il trattamento dei segnali multimediali.
Il corso ï¿½ suddiviso in due parti:
- la prima per fornire le conoscenze teoriche di base sugli strumenti per l'elaborazione dei segnali multimediali e sulla programmazione in Matlab,
- la seconda consiste in esperienze pratiche, di gruppo e individuali, sia su calcolatori che tramite dispositivi messi a disposizione degli studenti
Contents
- Introduzione alla programmazione in Matlab
- Caratteristiche del sistema visivo umano
- Elaborazione e filtraggio delle immagini nel dominio spaziale
- Elaborazione e filtraggio delle immagini nel dominio trasformato
- Tecniche di compressione delle immagini
- Sistemi stereoscopici
- Introduzione al video analogico e digitale
- Tecniche di codifica video
- Tecniche di elaborazione del segnale plenottico
- Interfacce uomo/macchina di ultima generazione
- Esercitazioni di laboratorio
Materials
- R.C. Gonzalez, R.E. Woods, and S. L. Eddins, Digital Image Processing Using MATLAB, 2e, Publisher: Prentice-Hall
- B. Block and P. McNally, 3D storytelling: how stereoscopic 3D works and how to use it, Publisher: Focal Press
- C. W. Chen, Z. Li and S. Lian, Intelligent Multimedia Communication: Techniques and Applications (Studies in Computational Intelligence), Publisher: Springer
- Dispense monografiche su alcune parti del corso

Bachelor

Semester: II
1 module
6 credits
42 hours

Laboratorio di reti per telecomunicazioni
(Telecommunication networks laboratory)

Module
Laboratorio di reti per telecomunicazioni
(Telecommunication networks laboratory)
Start 01/03/2019
Duration 42 hours
Code 20802062
End 14/06/2019
Language ITA
Channel Single
Credits 6
SSD ING-INF/03
Timetable Already finished
Certification Attestato di profitto
Type of course Traditional
Test Prova scritta, prova orale
Type of activity Attivitï¿½ formative a scelta dello studente (art.10, comma 5, lettera a)
GOMP page link
Moodle page link
Teacher Anna Maria Vegni
Objectives
Il corso ha il duplice obiettivo di presentare concetti base di teoria delle reti (tra cui reti cellulari, reti ad hoc, reti sociali, etc.) e quello di illustrare le metodologie piï¿½ avanzate per l'analisi dei sistemi di telecomunicazioni, sia attraverso programmi di simulazione (Network Simulator 2) sia attraverso l'installazione e configurazione di reti wireless e wired.
La simulazione permette di valutare le prestazioni delle reti di telecomunicazioni progettate, mentre l'utilizzo di sistemi di monitoraggio del traffico fornisce un riscontro reale dell'efficacia delle reti progettate
Lo studio delle reti per telecomunicazioni prevede anche le reti wireless ottiche nella banda del visibile (visible light communications)
Contents
- Introduzione al corso
- Le prestazioni di reti
- Lo strato trasporto
- Le sorgenti di informazione
- Le applicazioni di rete
- VANETs
- Motori di ricerca
- Comunicazioni wireless ottiche
Materials
- J.F. Kurose, and K.W. Ross, Computer Networking: A Top-Down Approach, 6th Edition, Addison Wesley
- A.S. Tanenbaum, Computer Networks, 4th Edition, Prentice Hall 2002
- D. Easley, and J. Kelinberg, Networks, Crowds, and Markets: Reasoning about a Highly Connected World, Cambridge University Press, 2010
- Z. Ghassemlooy, W. Popoola, and S. Rajbhandari, Optical wireless communications, System and Channel modeling with MATLAB, CRC Press
- Dispense a cura del docente

Bachelor

Semester: I
1 module
6 credits
48 hours

Trasmissioni numeriche
(Digital Communications)

Master

Semester: II
1 module
6 credits
36 hours

Comunicazioni multimediali

Module
Comunicazioni multimediali
Start 01/03/2019
Duration 36 hours
Code 20801690
End 14/06/2019
Language ITA
Channel Single
Credits 6
SSD ING-INF/03
Timetable Already finished
Certification Attestato di profitto
Type of course Traditional
Test Prova orale, valutazione di un progetto
Type of activity Attivitï¿½ formative caratterizzanti
GOMP page link
Moodle page link
Teacher Marco Carli
Objectives
L'insegnamento ha l'obiettivo di presentare gli aspetti sistematici e modellistici legati al supporto di servizi multimediali nelle reti di telecomunicazioni.
Verranno definite le caratteristiche del dato multimediale e delle varie tipologie di sorgente (sistema visivo umano, sistema uditivo, ecc.).
Saranno trattati gli aspetti architetturali e protocollari legati a specifici esempi di rete, aspetti di codifica di sorgente, di protezione dell'informazione mediante codifica di canale e di integrazione di informazioni di natura differente (video, audio, dati).
Parte dell insegnamento sarï¿½ dedicata ai sistemi innovativi di codifica e trasmissione
Contents
- Introduzione al multimediale
- Formazione dell'immagine
- Sistema visivo umano
- Codifica di sorgente per segnali multimediali (JPEG, MPEG H264, HEVC...)
- Codifica audio
- sistemi di comunicazione vs. multimedia
- Qualitï¿½ del servizio
- Interfacce uomo macchina - HTC VIVE
Materials
- P. Havaldar and G. Medioni, Multimedia Systems ï¿½ Algorithms, Standards and Industry Practices, Cengage Learning ï¿½ 978-1-4188-3594-1
- Ohm, Multimedia Communication Technology, Springer, ISBN: 978-3-642-62277-9 (Print) 978-3-642-18750-6 (Online)

Master

Semester: II
2 modules
12 credits
72 hours

Sicurezza dell'informazione
(Information security)

Module 1
Elementi di crittografia
Start 04/03/2019
Duration 36 hours
Code 20801702-1
End 31/05/2019
Language ITA
Channel Single
Credits 6
SSD ING-INF/03
Timetable Already finished
Certification Attestato di profitto
Type of course Traditional
Test Prova scritta
Type of activity Attivitï¿½ formative affini ed integrative
GOMP page link
Moodle page link
Teacher Federica Battisti
Objectives
Il corso consente di acquisire le nozioni e i concetti che sono alla base della Crittografia moderna
Fornisce inoltre gli strumenti concettuali e teorici che consentono di comprendere le tecniche avanzate attualmente utilizzate per proteggere la trasmissione e la memorizzazione di informazioni in presenza di agenti ostili o di rumore presente nel canale.
L'obiettivo principale ï¿½ di permettere agli studenti di capire il funzionamento di un crittosistema o di un protocollo crittografico.
Questo porterï¿½ alla capacitï¿½ di scegliere gli strumenti crittografici adatti per proteggere i dati durante la loro trasmissione e/o memorizzazione
Contents
- Introduzione alla crittografia
- Definizione di crittosistema, cifrari additivi, cifrari a sostituzione, cifrari a trasposizione
- Modi di funzionamento dei crittosistemi simmetrici
- Crittosistemi simmetrici standard: DES, 3DES e AES
- Crittografia asimmetrica (RSA, Diffie-Hellman), vantaggi e svantaggi
- Funzioni Hash e Message Digest
- Firma digitale, i certificati digitali, le autoritï¿½ di certificazione, lo standard X.509/PKI (Public Key Infrastructure)
Materials
- A. Stanoyevitch, Introduction to Cryptography
- A. J. Menezes, P. C. van Oorschot e S. A. Vanstone, Handbook of Applied Cryptography
- N. Ferguson e B. Schneier, Crittografia pratica
- W. Stallings, Cryptography and Network Security - Principles and Practices, Seventh Edition
- Dispense monografiche su alcune parti del corso

Module 2
Sicurezza delle telecomunicazioni
Start 01/03/2019
Duration 36 hours
Code 20801702-2
End 14/06/2019
Language ITA
Channel Single
Credits 6
SSD ING-INF/03
Timetable Already finished
Certification Attestato di profitto
Type of course Traditional
Test
Type of activity Attivitï¿½ formative caratterizzanti
GOMP page link
Moodle page link
Teacher Marco Carli
Objectives
Il corso ha come obiettivo l'analisi dei principali meccanismi e protocolli utilizzati nell ambito della sicurezza nelle reti di telecomunicazioni.
Verranno analizzati i principali meccanismi per autenticazione, accesso, integritï¿½, privacy nelle reti tlc.
In particolare vengono presentati i concetti di crittografia, i protocolli di autenticazione e comunicazione sicura, architetture di rete sicure.
Inoltre, verrï¿½ fornita allo studente la conoscenza delle tecnologie per la sicurezza dei contenuti multimediali (steganografia e watermarking digitale).
Verranno anche sviluppate le conoscenze matematiche necessarie a comprendere il funzionamento e a costruire crittosistemi e protocolli, in particolare a chiave pubblica
Contents
- Kerberos e Diameter
- IP Security
- Sicurezza nel web
- Sistemi di autenticazione
- Intrusion detection
- Honey pot
- Android security
- Cloud security
- Big data security
- Analisi Forense di immagini digitali
- Analisi e rilevazione di modifiche di dati multimediali
- Tecniche di analisi statistica
- Tecniche geometriche
Sono previste esercitazioni in Matlab su marchiatura digitale e attacchi su sistemi di comunicazione
Materials
W. Stallings, Cryptography and Network Security - Principles and Practices, Seventh Edition

Master

New!

Semester: I
2 modules
12 credits
102 hours

Sistemi di telecomunicazione
(Telecommunication systems)

Module 2
Telecomunicazioni wireless
Start 01/10/2018
Duration 54 hours
Code 20810072-2
End 25/01/2019
Language ITA
Channel Single
Credits 6
SSD ING-INF/03
Timetable Already finished
Certification Attestato di profitto
Type of course Traditional
Test
Type of activity Attivitï¿½ formative caratterizzanti
GOMP page link
Teacher Gaetano Giunta
Objectives
Acquisire conoscenze generali sui sistemi wireless come parte integrante di reti di comunicazione.
Fornire una panoramica sui principali sistemi di reti mobili cellulari di nuova generazione (3G e 4G), descrivendo sommariamente l'architettura delle reti di accesso e del core network sulla base di concetti operativi fondamentali.
Acquisire conoscenze di base sulle tecniche wireless di accesso multiplo alla risorsa radio e di copertura cellulare.
Acquisire conoscenze specifiche sulla gestione della rete strutturata condivisa, della mobilitï¿½ e della sicurezza delle comunicazioni.
Descrivere i criteri fondamentali di procedure, protocolli e servizi per l'interoperabilitï¿½ con reti eterogenee e/o virtuali.
Contents
- Le reti wireless radiomobili
- Requisiti e servizi
- Mobilitï¿½
- Sicurezza
- Gestione della rete e dei dispositivi mobili
- Architetture ed accesso alla risorsa di rete 2G e 3G
- Architetture ed accesso alla risorsa di rete 4G
- Evoluzione verso il 5G
Maggiori dettagli sul sito: http://host.uniroma3.it/laboratori/sp4te/teaching/tw/program.html
Materials
- G. Giunta, Lucidi del corso di Telecomunicazioni Wireless. 2017
- G. Columpsi, M. Leonardi, A. Ricci, UMTS: Tecniche e architetture per le reti ci comunicazioni mobili multimediali, seconda edizione; Hoepli informatica; Novembre 2005
- S. Sesia, I. Toufik, M. Baker, LTE - The UMTS Long Term Evolution: From Theory to Practice, 2nd Edition, Wiley publ.; July 2011

Master

Semester: I
1 module
9 credits
72 hours

Teoria dell'informazione e codici

Webpage content updated to: 13 March 2019 09:34

Resources

Hardware resources

Deep Learning machine

Deep learning is one of the fastest-growing segments of the machine learning or artificial intelligence field and a key area of innovation in computing

Description

Deep learning is one of the fastest-growing segments of the machine learning or artificial intelligence field and a key area of innovation in computing. With researchers creating new deep learning algorithms and industries producing and collecting unprecedented amounts of data, computational capability is the key to unlocking insights from data

The DIGITS DevBox is a deep learning machine designed and built by NVIDIA to give researchers all the computational power they need in a compact box that fits easily under any desk

Specifications

Hardware
Four TITAN X GPUs with 12GB of memory per GPU
64GB DDR4
Asus X99-E WS workstation class motherboard with 4-way PCI-E Gen3 x16 support
Core i7-5930K 6 Core 3.5GHz desktop processor
Three 3TB SATA 6Gb 3.5" Enterprise Hard Drive in RAID5
512GB PCI-E M.2 SSD cache for RAID
250GB SATA 6Gb Internal SSD
1600W Power Supply Unit from premium suppliers including EVGA
Software
Ubuntu 14.04
NVIDIA-qualified driver
NVIDIA® CUDA® Toolkit
NVIDIA® DIGITS™ SW
NVIDIA® cuDNN™
Caffe, Theano, Torch, BIDMach

HTC VIVE - Virtual Reality set

Once you put on the Vive headset, you are immersed in a virtual world full of surprises

Description

Once you put on the Vive headset, you are immersed in a world full of surprises

Walk around freely and explore everything while the Chaperone guidance system keeps you within the bounds of your play area. Stunning graphics make it feel so real and surreal simultaneously

The HTC VIVE VR system is composed by several parts:

An headset to see the incredible virtual world presented you by VIVE
Two wireless controllers, one in each hand, to interact with the virtual environment
Optional tracker to track the position of any object you like
Two base stations to precisely track the position of headset, controller, trackers inside your play area
Earphones to enjoy an experience even more immersive with hi-fi audio

Specifications

Headset
110° field of view
2160 x 1200 combined resolution and 90 Hz refresh rate
Front camera to blend the real-world around you into the virtual world you are immersed in
32 sensors for 360° motion tracking
Controllers
Multi-function hi-resolution trackpad with haptic feedback
24 sensors for 360° motion tracking on each controller
Tracker (optional)
Sensors for 360° motion tracking
Can be attached to any object you want to carry into the virtual world
Base stations
Laser coverage of the play area for 360° tracking of headset, controllers and tracker with millimeter accuracy
Wireless connection, only a power cable is required

Leap Motion controller

You can control the real, or a virtual, world only with your hands movement without touching anything

Description

The Leap Motion controller is a small USB peripheral device designed to be placed on a physical desktop, facing upward or onto a virtual reality headset, whose purpose is to determine the position and gestures of the user's hands

The device frames an approximately hemispherical area at a distance of about 1 meter through two IR cameras and three IR LEDs. The LEDs generate IR light, the two cameras capture reflected light and generate about 200 frames per second that are analyzed and processed by the software that produces a 3D map of user hands moving into space in front of the device with a precision of about 0.7 mm

The device can be used as a contactless Human-Machine-Interface which possible uses are:

navigating a website
exploring a map using pinch-to-zoom gestures
drawing with high-precision
manipulating complex 3D data visualizations

The interaction in a virtual environment requires a proper VR set

Example of interaction in a virtual environment

A possible application in a CAD program

A new way to interact with PC

Lytro Illum

Discover a new way to capture images you would never have imagined

Description

Lytro ILLUM is a light field camera and software platform designed to redefine the way we portray the world around us. Harnessing the full power of the light field, the Lytro ILLUM gives photographers a unique way of capturing visual experiences - not as a static cross-section of reality but an interactive window into their world through Light Field Photography

Unlike a conventional digital camera, the Lytro ILLUM captures the light field, which includes the direction of light. Most recently, light field cameras lived only in academic labs - via a roomful of cameras tethered to a supercomputer. Lytro's scientists and engineers have optimized this technology so that the power of the light field can fit right in your hands

Capturing this fundamentally new data gives consumers unprecedented capabilities, including the ability to focus, change the perspective, change the aperture, and view in 3D - all after a picture is taken. Photographers using the Lytro ILLUM have new creative opportunities to tell stories and capture moments, delivering Living Pictures to friends, family, and clients

Example of refocusing

Another example of refocusing

Using different points of view

Specifications

Weight and Dimensions
Height: 3.4 inches (86 mm)
Width: 5.7 inches (145 mm)
Depth: 6.5 inches (166 mm)
Weight: 2.07 pounds (940 g)
Display
4" Back-lit LCD rear touchscreen with capacitive multi-touch
480-by-800-pixel resolution at 235 ppi
Adjustable Brightness
Live View Rendering
Dual hinge tilting articulation mechanism
Articulated Angles: -10 to +90 degrees
Angle of View: Up to 80 degrees
Image sensor
Light field sensor based on CMOS technology
Light Field Resolution: 40 Megaray
Sensor Format: 1/1.2"
Active Area: 10.82 x 7.52 mm
ISO Range: 80-3200
Processor
Snapdragon® 800 processor by QUALCOMM® Incorporated
Lens
Focal Length: 9.5 - 77.8 mm (30 - 250 mm equivalent)
Crop Factor: 3.19
Zoom: 8x optical
Lens Aperture: Constant /2.0
Macro: Focus to 0 mm from lens front
Macro Ratio: 1 : 3
Wireless
Wi-Fi (802.11a/b/g/n/ac)
Image format
Light Field RAW Format (.lfr)
3 : 2 Aspect Ratio
2D export resolution: 2450 x 1634 pixels
Shutter
Focal Plane Shutter
Fastest Shutter Speed: 1/4000 sec
Longest Shutter Speed: 32 seconds
Flash Sync Speed: 1/250 sec
Drive Modes: Single, continuous or self-timer
Self-Timer: Yes (2 or 10 seconds)
Continuous Drive: 3 fps
Power and battery
Removable 3.7 V, 3760 mAH Li-ion battery
Battery Charging via Standalone wall charger and USB

NI USRP-2943R - Universal Software Radio Peripheral

A radio platform whose functions are configured exclusively by software

Description

The NI USRP-2943R software defined radio platform provides an integrated hardware and software solution for rapidly prototyping high-performance wireless communication systems

Each device is composed by one large digital motherboard, with a Xilinx Kintex-7 (410T) FPGA, and two RF transceivers, also called daughterboards, and it is housed in a half-1U rack-mountable form factor metallic case

The Kintex-7 FPGA is a reconfigurable LabVIEW FPGA target that incorporates DSP48 coprocessing for high-rate, low-latency applications. With the flexible hardware architecture and the LabVIEW unified design flow, researchers can prototype faster and significantly shorten time to results

It is used to prototype a wide range of advanced research applications that include multiple input, multiple output (MIMO); synchronization of heterogeneous networks; LTE relaying; RF compressive sampling; spectrum sensing; cognitive radio; beamforming; and direction finding

The NI USRP-2943R main characteristics are:

2x2 MIMO RF transceivers with independently tunable options from 1.2 GHz to 6 GHz
120 MHz per channel real-time bandwidth featuring up to 80 dB of dynamic range
Optimized RF performance with corrections for DC offset, I/Q imbalance, and amplitude accuracy
Large reconfigurable DSP-oriented Xilinx Kintex-7 (410T) FPGA
Unified LabVIEW design flow for host and FPGA
Integrated support for .m file scripts, C libraries, and VHDL IP
High-speed, low-latency PCI Express x4 (~800 MB/s) connection to the host computer
Compatible with LabVIEW and the LabVIEW Communications System Design Suite

NI USRP-2943R Block diagram

The device can be programmed with National Instruments LabVIEW, that is a graphical programming tool

Example of LabVIEW program

Each device can be equipped with several daughterboards, depending on the needs and the system requirements. Comlab owns three different kind of daughterboards: the CBX-40, the CBX-120 and the WBX-120

CBX-40 daughterboard

CBX-120 daughterboard

WBX-120 daughterboard

NI USRP-2943R specifications

Transmitter section
Number of channels	2
Frequency range (with the CBX daughterboards)	1.2 GHz to 6 GHz
Frequency range (with the WBX-120 daughterboard)	50 MHz to 2.2 GHz
Frequency step	<1 kHz
Maximum output power (Pout) (with the CBX daughterboards) 1.2 GHz to 3.5 GHz 3.5 GHz to 6 GHz	50 mW ÷ 100 mW (17 dBm ÷ 20 dBm) 5 mW ÷ 32 mW (7 dBm ÷ 15 dBm)
Maximum output power (Pout) (with the WBX-120 daughterboard) 50 MHz to 1.2 GHz 1.2 GHz to 2.2 GHz	50 mW ÷ 100 mW (17 dBm ÷ 20 dBm) 30 mW ÷ 70 mW (15 dBm ÷ 18 dBm)
Gain range (with the CBX daughterboards)	0 dB to 31.5 dB
Gain range (with the WBX-120 daughterboard)	0 dB to 31 dB
Gain step (with the CBX daughterboards)	0.5 dB
Gain step (with the WBX-120 daughterboard)	1.0 dB
Frequency accuracy - based on temperature-compensated crystal oscillator (TCXO) - based on optional GPS receiver	2.5 ppm 25 ppb
Maximum instantaneous real-time bandwidth (with the CBX-120 and WBX-120 daughterboards)	120 MHz
Maximum instantaneous real-time bandwidth (with the CBX-40 daughterboard)	40 MHz
Maximum I/Q sample rate	200 MS/s
Digital-to-analog converter (DAC) - Resolution - Spurious-free dynamic range (sFDR)	16 bit 80 dB
Receiver section
Number of channels	2
Frequency range (with the CBX daughterboards)	1.2 GHz to 6 GHz
Frequency range (with the WBX-120 daughterboard)	50 MHz to 2.2 GHz
Frequency step	<1 kHz
Gain range	0 dB to 37.5 dB
Gain step	0.5 dB
Maximum input power (Pin)	-15 dBm
Noise figure	5 dB to 7 dB
Frequency accuracy - based on temperature-compensated crystal oscillator (TCXO) - based on optional GPS receiver	2.5 ppm 25 ppb
Maximum instantaneous real-time bandwidth (with the CBX-120 and WBX-120 daughterboards)	120 MHz
Maximum instantaneous real-time bandwidth (with the CBX-40 daughterboard)	40 MHz
Maximum I/Q sample rate	200 MS/s
Digital-to-analog converter (DAC) - Resolution - Spurious-free dynamic range (sFDR)	14 bit 88 dB

Ricoh Theta S - 360° camera

Bringing innovation to the imaging experience. Record and recreate the real world in 360 degrees

Description

Bringing innovation to the imaging experience. Record and recreate the real world in 360 degrees

High quality image with improved resolution delivers a more natural three-dimensional experience and coloring. 360º spatial audio lets you record sound from all directions. Realistically record images and audio of the world surrounding youto recreate inspiring moments

Image data recorded on THETA S can be played back in 360º on a monitor such as TV. The THETA S also functions as a remote control which can be used to select the image file and move displayed 360º image up, down, left, and right. It can also zoom-in and out

Enjoy high-sensitivity shooting from ISO 3200 (still images) to ISO 6400 (videos, live streaming). This range of sensitivity is highly effective for shooting in dark scenes

This model is equipped with a new gyro sensor in addition to the conventional acceleration sensor. Tilt detection precision has been significantly improved, along with top/bottom correction precision enhancements and the ability for Remote Playback

Advanced image processing technology cultivated over the years in camera development deliver image quality with minimal loss of shadow detail and highlight blowout even in scenes with varying levels of contrast. The white balance algorithm has been completely retuned to achieve natural hues for a wide range of scenes

This model supports 4K compatible 360 degree live streaming. Output the 4K (3840x1920 pixels), 360º image in real-time

RICOH THETA S is compatible with the Google Street View app. The app enables you to record and publish 360 video (as Street View) to Google Maps

RICOH THETA S specifications

Object distance	Approx. 10cm - ∞ (from front of lens)
Shooting mode	Still image: Auto, shutter priority, ISO priority, manual Video: Auto Live streaming: Auto
Exposure control mode	Program AE, Shutter speed priority AE, ISO sensitivity AE, Manual exposure
Exposure compensation	Still image: Manual compensation (-2.0 - +2.0EV, 1/3EV step)
ISO sensitivity (standard output sensitivity)	Still image: ISO 100 - 1600 Video: ISO 100 - 1600 Live streaming: ISO 100 - 1600
White balance mode	Still image: Auto, Outdoor, Shade, Cloudy, Incandescent light 1, Incandescent light 2, Daylight color fluorescent light, Natural white fluorescent light, White fluorescent light, Light bulb color fluorescent light, Color temperature specification shots Video: Auto Live streaming: Auto
Shutter speed	Still image: (Excluding Mnual mode) 1/6400 - 1/8 seconds, (Manual mode) 1/6400 - 60 seconds Video: (L) 1/8000 - 1/30 seconds, (M) 1/8000 - 1/15 seconds Live streaming: (USB) 1/8000 - 1/15 seconds, (HDMI) 1/8000 - 1/30 seconds

Some examples of 3D images

Click the images above to see them in Panoramic mode

SMI Eye tracker

Understanding where your eyes are pointing at

Software resources

3DSwIM

Depth-Image-Based-Rendering (DIBR) techniques are essential for three dimensional (3D) video applications such as 3D Television (3DTV) and Free-Viewpoint Video.
However, this process is based on 3D warping and can induce serious distortions whose impact on the perceived quality is far different from the one experienced in the 2D imaging processes.
Since quality evaluation of DIBR-synthesized views is fundamental for the design of perceptually-friendly 3D video systems, an appropriate objective quality metric targeting the assessment of DIBR-synthesized views is momentous.
Most of 2D objective quality metrics fail in assessing the visual quality of DIBR-synthesized views because they have not been conceived for addressing the specificities of DIBR-related distortions.
In this paper, a new fullreference objective quality metric dedicated to artifacts detection in DIBR-synthesized view-points is presented.
The proposed scheme relies on a comparison of statistical features of wavelet subbands of two input images: the original image and the DIBR-based synthesized image.
A registration step is included before the comparison step so that best matching blocks are always compared to ensure "shifting-resilience".
In addition, a skin detection step weights the final quality score in order to penalize distorted blocks containing "skin-pixels" based on the assumption that a human observer is most sensitive to impairments affecting human subjects.

We are making the objective metric available to the research community free of charge.
If you use this database in your research, we kindly ask that you reference our paper listed below:

F. Battisti, E. Bosc, M. Carli, P. Le Callet, and S. Perugia 'Objective Image Quality Assessment of 3D Synthesized Views', Signal Processing: Image Communication, Volume 30, January 2015, Pages 78-88, doi:10.1016/j.image.2014.10.005.

The investigators in this research are:

Dr. Federica Battisti
Dr. Emilie Bosc
Dr. Marco Carli
Prof. Patrick Le Callet
Simone Perugia

SMART Dataset

Light Field images dataset

16 Light Field (LF) images are included in the SMART LF dataset.
The images are from both indoor and outdoor category, and cover general image content related features (colorfulness, spatial information, and texture) but also LF specific aspects such as reflection, transparency and depth of field variation.

If you use this dataset please cite the following papers:

P. Paudyal, F. Battisti, M. Sjöström, R. Olsson, and M. Carli, 'Towards the Perceptual Quality Evaluation of Compressed Light Field Images', in IEEE Transactions on Broadcasting, vol.PP, no.99, pp.1-16, doi: 10.1109/TBC.2017.2704430
P. Paudyal, R. Olsson, M. Sjöström, F. Battisti, M. Carli, 'SMART: a Light Field image quality dataset', Procs. of the ACM Multimedia Systems 2016 Conference (MMSys 2016), Austria, May 10-13, 2016

Download LF dataset

SMART: a Light Field image quality dataset

The investigators in this research are:

Dr. Federica Battisti
Dr. Marco Carli
Dr. Roger Olsson
Dr. Pradip Paudyal
Prof. Mårten Sjöström

Webpage content updated to: 11 December 2018 11:11

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Updated to: 30 Mar 2023

Webmaster: Massimo Massaro

COMLAB

DIGITAL SIGNAL PROCESSING MULTIMEDIA & OPTICAL COMMUNICATIONS

Software Defined Radio

Augmented reality

Plenoptics

Multimedia quality

Multimedia security

Localization

VANET, Visible Light Communication, Nano-scale communication

Welcome to the Comlab Laboratory

Our research topics

Deep Learning

Deep Learning

Fig. A simple, fully-connected, deep neural network with three hidden layers

Fig. Architecture of a convolutional layer, one of the most important building blocks of deep neural networks

Internet of Things

Internet of Things

Fig. A schematic of IoT network

Fig. Modified PEACH (Predicting frost events in peach orchards using IoT technology) network architecture

Localization

Localization

Multimedia Quality Assessment

Multimedia Quality Assessment

Multimedia Security

Multimedia Security

Nano-scale Communications

Nano-scale Communications

Navigation

Navigation

Optical wireless communications

Optical wireless communications

Plenoptics

Plenoptics

Vehicular Ad-hoc networks

Vehicular Ad-hoc networks

Our Team

AlessandroNeri

MarcoCarli

FedericaBattisti

Anna MariaVegni

MassimoMassaro

FedericoColangelo

PramitMazumdar

GiulianoArru

SaraBaldoni

MicheleBrizzi

MosesMariajoseph

UmairArif

Our alumni

Pietro Salvatori

Pradip Paudyal

Yiwei Liu

Alessandro Neri - Full Professor

Marco Carli - Assistant Professor

Federica Battisti - Assistant Professor

Anna Maria Vegni - Assistant Professor

Massimo Massaro - PhD

Federico Colangelo - Post Doc

Pramit Mazumdar - Post Doc

Giuliano Arru - PhD Student (XXXIII cycle)

Sara Baldoni - PhD Student (XXXIV cycle)

Michele Brizzi - PhD Student (XXXIV cycle)

Moses Mariajoseph - Marie Curie fellow

Umair Arif - Marie Curie fellow

Pietro Salvatori - XXIX PhD Cycle

Pradip Paudyal - XXIX PhD Cycle

Yiwei Liu - XXIX PhD Cycle

Our courses

Internet & multimedia

Module

Internet & multimedia

Laboratorio di multimedialitï¿½(Multimedia laboratory)

Module

Laboratorio di multimedialitï¿½(Multimedia laboratory)

Laboratorio di reti per telecomunicazioni(Telecommunication networks laboratory)

Module

Laboratorio di reti per telecomunicazioni(Telecommunication networks laboratory)

Trasmissioni numeriche(Digital Communications)

Module

Trasmissioni numeriche(Digital Communications)

DIGITAL SIGNAL PROCESSING
MULTIMEDIA & OPTICAL COMMUNICATIONS

Alessandro
Neri

Marco
Carli

Federica
Battisti

Anna Maria
Vegni

Massimo
Massaro

Federico
Colangelo

Pramit
Mazumdar

Giuliano
Arru

Sara
Baldoni

Michele
Brizzi

Moses
Mariajoseph

Umair
Arif

Laboratorio di multimedialitï¿½
(Multimedia laboratory)

Laboratorio di multimedialitï¿½
(Multimedia laboratory)

Laboratorio di reti per telecomunicazioni
(Telecommunication networks laboratory)

Laboratorio di reti per telecomunicazioni
(Telecommunication networks laboratory)

Trasmissioni numeriche
(Digital Communications)

Trasmissioni numeriche
(Digital Communications)

Sicurezza dell'informazione
(Information security)

Sistemi di telecomunicazione
(Telecommunication systems)

Sistemi di localizzazione e navigazione
(Localization and navigation systems)