E. Commission, ITS & Vulnerable Road Users http: //ec.europa.eu/transport/themes/its/road/action plan/its and vulnerable road users en

T. Gandhi and M. Trivedi, Pedestrian Protection Systems: Issues, Survey, and Challenges, IEEE Transactions on Intelligent Transportation Systems, vol.8, issue.3, pp.413-430, 2007.
DOI : 10.1109/TITS.2007.903444
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.81.6405

D. Gerónimo, A. M. López, A. D. Sappa, and T. Graf, Survey of Pedestrian Detection for Advanced Driver Assistance Systems, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.7, pp.1239-58, 2010.
DOI : 10.1109/TPAMI.2009.122

P. Dollar, C. Wojek, B. Schiele, and P. Perona, Pedestrian Detection: An Evaluation of the State of the Art, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.4, pp.743-761, 2012.
DOI : 10.1109/TPAMI.2011.155

G. Gate, A. Breheret, and F. Nashashibi, Centralized fusion for fast people detection in dense environment, 2009 IEEE International Conference on Robotics and Automation, 2009.
DOI : 10.1109/ROBOT.2009.5152645

P. Merdrignac, E. Pollard, and F. Nashashibi, 2D laser based road obstacle classification for road safety improvement, 2015 IEEE International Workshop on Advanced Robotics and its Social Impacts (ARSO), 2015.
DOI : 10.1109/ARSO.2015.7428199
URL : https://hal.archives-ouvertes.fr/hal-01158396

P. Merdrignac, O. Shagdar, I. B. Jemaa, and F. Nashashibi, Study on Perception and Communication Systems for Safety of Vulnerable Road Users, 2015 IEEE 18th International Conference on Intelligent Transportation Systems, 2015.
DOI : 10.1109/ITSC.2015.304
URL : https://hal.archives-ouvertes.fr/hal-01171605

M. Tons and R. Doerfler, Radar sensors and sensor platform used for pedestrian protection in the EC-funded project SAVE-U, IEEE Intelligent Vehicles Symposium, 2004, 2004.
DOI : 10.1109/IVS.2004.1336489

K. Manston, The Challenges Of Using Radar For Pedestrian Detection, The 16th JCT Traffic Signal Symposium, 2011.

B. Clarke, S. Worrall, G. Brooker, and E. Nebot, Towards mapping of dynamic environments with FMCW radar, IEEE Intelligent Vehicles Symposium (IV), 2013.

F. Bu and C. Y. Chan, Pedestrian detection in transit bus application: sensing technologies and safety solutions, IEEE Proceedings. Intelligent Vehicles Symposium, 2005., 2005.
DOI : 10.1109/IVS.2005.1505085

A. Ewald and V. Willhoeft, Laser scanners for obstacle detection in automotive applications, Proceedings of the IEEE Intelligent Vehicles Symposium 2000 (Cat. No.00TH8511), 2000.
DOI : 10.1109/IVS.2000.898427

K. C. Fuerstenberg, K. C. Dietmayer, and V. Willhoeft, Pedestrian recognition in urban traffic using a vehicle based multilayer laserscanner, Intelligent Vehicle Symposium, 2002. IEEE, 2002.
DOI : 10.1109/IVS.2002.1187923

B. Schwarz, LIDAR: Mapping the world in 3-D, Nature Photonics, vol.4, issue.7, 2010.

D. M. Gavrila, J. Giebel, and S. Munder, Vision-based pedestrian detection: the protector system, IEEE Intelligent Vehicles Symposium, 2004, 2004.
DOI : 10.1109/IVS.2004.1336348
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.97.9079

I. P. Alonso, D. F. Llorca, M. A. Sotelo, L. M. Bergasa, P. Revenga-de-toro et al., Combination of Feature Extraction Methods for SVM Pedestrian Detection, IEEE Transactions on Intelligent Transportation Systems, vol.8, issue.2, pp.292-307, 2007.
DOI : 10.1109/TITS.2007.894194

M. Enzweiler and D. M. Gavrila, Monocular Pedestrian Detection: Survey and Experiments, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.12, pp.2179-2195, 2009.
DOI : 10.1109/TPAMI.2008.260
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.149.5794

M. Bertozzi, A. Broggi, and P. Grisleri, Pedestrian detection in infrared images, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683), 2003.
DOI : 10.1109/IVS.2003.1212991

C. Bellotti, F. Bellotti, A. De-gloria, L. Andreone, and M. Mariani, Developing a near infrared based night vision system, IEEE Intelligent Vehicles Symposium, 2004, 2004.
DOI : 10.1109/IVS.2004.1336467

K. David and A. Flach, CAR-2-X and Pedestrian Safety, IEEE Vehicular Technology Magazine, vol.5, issue.1, pp.70-76, 2010.
DOI : 10.1109/MVT.2009.935536

E. Ts, Vehicular communications; Basic set of Applications; Part 2: Specification of Cooperative Awareness Basic Service, Std, Intelligent Transport Systems (ITS), vol.102, pp.637-639, 2011.

J. Anaya, P. Merdrignac, O. Shagdar, F. Nashashibi, and J. Naranjo, Vehicle to pedestrian communications for protection of vulnerable road users, 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014.
DOI : 10.1109/IVS.2014.6856553
URL : https://hal.archives-ouvertes.fr/hal-00992759

E. Ts, Vehicular communications; Basic set of Applications; Part 3: Specifications of Decentralized Environmental Notification Basic Service, Std, Intelligent Transport Systems (ITS), vol.102, pp.637-640, 2010.

D. Eu, EU of the European Parliament and of the Council, 2008.

C. Sugimoto, Y. Nakamura, and T. Hashimoto, Prototype of pedestrianto-vehicle communication system for the prevention of pedestrian accidents using both 3G wireless and WLAN communication, 3rd International Symposium on Wireless Pervasive Computing, 2008.

D. Ikeda, M. Horie, R. Yamaguchi, T. Wada, and H. Okada, An Effective Detection Algorithm of the Relative Movement between Vehicles and Pedestrians in VPEC, Second ACM international workshop on Wireless network testbeds, experimental evaluation and characterization, 2007.

M. Bagheri, M. Siekkinen, and J. K. Nurminen, Cellular-based vehicle to pedestrian (V2P) adaptive communication for collision avoidance, 2014 International Conference on Connected Vehicles and Expo (ICCVE), 2014.
DOI : 10.1109/ICCVE.2014.7297588

E. Ts, Vehicular communications; GeoNetworking; Part 1: Requirements, Std, Intelligent Transport Systems (ITS, vol.102, pp.636-637, 2010.

H. Li, M. Tsukada, F. Nashashibi, and M. Parent, Multivehicle Cooperative Local Mapping: A Methodology Based on Occupancy Grid Map Merging, IEEE Transactions on Intelligent Transportation Systems, vol.15, issue.5, pp.1-12, 2014.
DOI : 10.1109/TITS.2014.2309639
URL : https://hal.archives-ouvertes.fr/hal-01107534

G. Challita, S. Mousset, F. Nashashibi, and A. Bensrhair, An application of V2V communications : Cooperation of vehicles for a better car tracking using GPS and vision systems, 2009 IEEE Vehicular Networking Conference (VNC), 2009.
DOI : 10.1109/VNC.2009.5416382

E. Pollard and D. Gingras, Improved low cost GPS localization by using communicative vehicles, 2012 12th International Conference on Control Automation Robotics & Vision (ICARCV), 2012.
DOI : 10.1109/ICARCV.2012.6485178
URL : https://hal.archives-ouvertes.fr/hal-00735332

M. Obst, L. Hobert, and P. Reisdorf, Multi-sensor data fusion for checking plausibility of V2V communications by vision-based multiple-object tracking, 2014 IEEE Vehicular Networking Conference (VNC), 2014.
DOI : 10.1109/VNC.2014.7013333

N. E. Zoghby, V. Cherfaoui, and T. Denoeux, Evidential distributed dynamic map for cooperative perception in VANets, 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014.
DOI : 10.1109/IVS.2014.6856550
URL : https://hal.archives-ouvertes.fr/hal-01023914

M. Liebner, F. Klanner, and C. Stiller, Active safety for vulnerable road users based on smartphone position data, 2013 IEEE Intelligent Vehicles Symposium (IV), 2013.
DOI : 10.1109/IVS.2013.6629479

A. Sikora, Communication and Localization for a Cooperative eSafety-System, 2007 4th IEEE Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2007.
DOI : 10.1109/IDAACS.2007.4488509

D. Lill, M. Schappacher, A. Gutjahr, and A. Sikora, Development of a wireless communication and localization system for VRU eSafety, 7th International Symposium on Communication Systems Networks and Digital Signal Processing, 2010.

B. Fardi, U. Neubert, N. Giesecke, H. Lietz, G. Wanielik et al., A fusion concept of video and communication data for VRU recognition Effectiveness study of cooperative sensor systems for VRU-safety, 11th International Conference on Information Fusion IEEE Intelligent Vehicles Symposium (IV), 2008.

Y. Bar-shalom and X. Li, Multitarget-multisensor tracking: principles and techniques, 1995.

D. B. Reid, An algorithm for tracking multiple targets, IEEE Transactions on Automatic Control, vol.24, issue.6, 1979.

Z. Alsayed, G. Bresson, F. Nashashibi, and A. Verroust-blondet, Pmlslam: a solution for localization in large-scale urban environments, PPNIV-IROS 2015, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01202038

O. Shagdar, O. Shadar-received-her, B. S. , M. S. , and P. , she has been has been been working at the ATR Adaptive Communications Research Laboratories. She is a researcher of RITS team at INRIA Paris since 2012 and a researcher in VEDECOM institute since 2015. Her research interest includes wireless communications , especially medium access control, routing/forwarding/access point selection, and transmission coding for vehicular, mesh, sensor applications She is a member of IEEE since, Electric and Electronic System Engineering, 2002.

. Citymobil, . Arcos, . Abv, and S. Love, Mines ParisTech) since 1994 and was an R & D engineer and a project manager at ARMINES since He was previously a research engineer at PROMIP (working on mobile robotics perception dedicated to space exploration) and a technical manager at Light Co. where he led the developments of Virtual Reality/Augmented Reality applications. Fawzi Nashashibi has a Masters Degree in Automation, Industrial Engineering and Signal Processing (LAAS/CNRS), a PhD in Robotics from Toulouse University prepared in (LAAS/CNRS) laboratory, and a HDR Diploma (Accreditation to research supervision) from University of Pierre et Marie Curie (Paris 6) His main research topics are in environment perception and multi-sensor fusion, vehicle positioning and environment 3D modeling with main applications in Intelligent Transport Systems and Robotics. He played key roles in more than 50 European and national French projects such as Carsense, HAVE-it some of which he has coordinated. He is also involved in many collaborations with French and international academics and industrial partners. He is author of numerous publications and patents in the field of ITS and ADAS systems. His current interest focuses on advanced urban mobility through the design and development of highly Automated Transportation Systems. This includes Highly Automated Unmanned Guided Vehicles (such as Cybercars) as well automated personal vehicles. In this field he is known as an international expert, Fawzi Nashashibi 48 years, is a senior researcher and the Program Manager of RITS Team at INRIA Paris since 2010. He has been senior researcher and Program Manager in the robotics center of the Ecole des Mines de Paris several universities (Mines ParisTech Ecole Centrale dElectronique) in the fields of image and signal processing, 3D perception, 3D infographics, mobile robotics and C++/JAVA programming. He is also member of the ITS Society and the Robotics & Automation Society. He is an Associate Editor of several IEEE international conferences such as ICRA, 1994.