J. Dargay, D. Gately, and M. Sommer, Vehicle Ownership and Income Growth, The Energy Journal, vol.28, issue.4, pp.143-170, 1960.

, Summary of motor vehicle crashes (Final edition): 2015 data, tech. rep., National Center for Statistics and Analysis, 2017.

S. Singh, Critical reasons for crashes investigated in the National Motor Vehicle Crash Causation Survey, Tech. Rep. DOT HS, vol.812, issue.115, 2015.

N. Kalra and S. M. Paddock, Driving to safety: How many miles of driving would it take to demonstrate autonomous vehicle reliability?, Transportation Research Part A: Policy and Practice, vol.94, pp.182-193, 2016.

D. J. Fagnant and K. Kockelman, Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations, Transportation Research Part A: Policy and Practice, vol.77, pp.167-181, 2015.

J. Anderson, N. Kalra, K. Stanley, P. Sorensen, C. Samaras et al., Autonomous Vehicle Technology: A Guide for Policymakers, vol.1, pp.4-5, 2016.

J. Ploeg, A. F. Serrarens, and G. J. Heijenk, Connect & drive: design and evaluation of cooperative adaptive cruise control for congestion reduction, Journal of Modern Transportation, vol.19, issue.3, p.4, 2011.

K. Dresner and P. Stone, A multiagent approach to autonomous intersection management, Journal of artificial intelligence research, vol.31, pp.591-656, 2008.

T. Litman, Autonomous vehicle implementation predictions, Victoria Transport Policy Institute, vol.28, 2014.

, SAE J3016. Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road Motor Vehicles, SAE On-Road Automated Driving Committee, 2016.

N. Lu, N. Cheng, N. Zhang, X. Shen, and J. W. Mark, Connected Vehicles: Solutions and Challenges, IEEE Internet of Things Journal, vol.1, pp.289-299, 2014.

O. Gehring and H. Fritz, Practical results of a longitudinal control concept for truck platooning with vehicle to vehicle communication, Proceedings of Conference on Intelligent Transportation Systems, pp.117-122, 1998.

R. Naumann, R. Rasche, and J. Tacken, Managing autonomous vehicles at intersections, IEEE Intelligent Systems and their Applications, vol.13, issue.3, p.38, 1998.

J. Ziegler, P. Bender, T. Dang, and C. Stiller, Trajectory planning for Bertha -A local, continuous method, IEEE Intelligent Vehicles Symposium, Proceedings, no. Iv, pp.450-457, 2014.

A. Krizhevsky, I. Sutskever, and G. E. Hinton, Imagenet classification with deep convolutional neural networks, Advances in neural information processing systems, p.6, 2012.

D. Silver, A. Huang, C. J. Maddison, A. Guez, L. Sifre et al., Mastering the game of go with deep neural networks and tree search, Nature, vol.529, issue.7587, pp.6-111, 2016.

C. Hubschneider, A. Bauer, M. Weber, and J. M. Zollner, Adding Navigation to the Equation: Turning Decisions for End-to-End Vehicle Control, 2017 IEEE International Conference on Intelligent Transportation Systems, no. October, p.6, 2017.

V. Mnih, K. Kavukcuoglu, D. Silver, A. A. Rusu, J. Veness et al., Human-level control through deep reinforcement learning, Nature, vol.518, issue.7540, pp.529-533, 2015.

D. Silver, J. Schrittwieser, K. Simonyan, I. Antonoglou, A. Huang et al., Mastering the game of go without human knowledge, Nature, vol.550, issue.7676, p.111, 2017.

A. Athalye and I. Sutskever, Synthesizing robust adversarial examples, 2017.

J. Latombe, Robot motion planning, vol.124, p.9, 2012.

C. Goerzen, Z. Kong, and B. Mettler, A survey of motion planning algorithms from the perspective of autonomous UAV guidance, Journal of Intelligent and Robotic Systems: Theory and Applications, vol.57, pp.65-100, 2010.

C. Katrakazas, M. Quddus, W. Chen, and L. Deka, Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions, Transportation Research Part C: Emerging Technologies, vol.60, p.9, 2015.

T. Lozano-perez, Spatial planning: A configuration space approach, IEEE Transactions on Computers, vol.100, p.10, 1983.

S. M. Lavalle, Planning algorithms, p.10, 2006.
URL : https://hal.archives-ouvertes.fr/hal-01993243

J. Canny and J. Reif, New lower bound techniques for robot motion planning problems, 28th Annual Symposium on Foundations of Computer Science (sfcs 1987), p.11, 1987.

T. Fraichard, Dynamic trajectory planning with dynamic constraints: A'state-time space'approach, Intelligent Robots and Systems' 93, IROS'93. Proceedings of the 1993 IEEE/RSJ International Conference on, vol.2, p.12, 1993.

T. Fraichard, Trajectory planning in a dynamic workspace: a'state-time space'approach, Advanced Robotics, vol.13, issue.1, p.12, 1998.
URL : https://hal.archives-ouvertes.fr/inria-00073139

P. Bender, O. S. Tas, J. Ziegler, and C. Stiller, The Combinatorial Aspect of Motion Planning: Maneuver Variants in Structured Environments, vol.13, p.90, 2015.

D. Gonzalez, J. Perez, V. Milanes, and F. Nashashibi, A Review of Motion Planning Techniques for Automated Vehicles, IEEE Transactions on Intelligent Transportation Systems, p.12, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01397924

B. Paden, M. Cap, S. Z. Yong, D. Yershov, and E. Frazzoli, A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles, IEEE Transactions on Intelligent Vehicles, vol.1, p.12, 2016.

L. E. Kavraki, P. Svestka, J. Latombe, and M. H. Overmars, Probabilistic roadmaps for path planning in high-dimensional configuration spaces, IEEE transactions on Robotics and Automation, vol.12, issue.4, p.12, 1996.

S. M. Lavalle, Rapidly-exploring random trees: A new tool for path planning, p.12, 1998.

M. Pivtoraiko and A. Kelly, Efficient constrained path planning via search in state lattices, International Symposium on Artificial Intelligence, Robotics, and Automation in Space, p.12, 2005.

E. Frazzoli, M. A. Dahleh, and E. Feron, Maneuver-based motion planning for nonlinear systems with symmetries, IEEE transactions on robotics, vol.21, issue.6, p.12, 2005.

G. Williams, P. Drews, B. Goldfain, J. M. Rehg, and E. A. Theodorou, Aggressive driving with model predictive path integral control, Robotics and Automation (ICRA), 2016 IEEE International Conference on, p.12, 2016.

V. J. Lumelsky and A. A. Stepanov, Path-planning strategies for a point mobile automaton moving amidst unknown obstacles of arbitrary shape, Algorithmica, vol.2, issue.1, p.12, 1987.

T. Howard, C. Green, and A. Kelly, Receding horizon model-predictive control for mobile robot navigation of intricate paths, Field and Service Robotics, p.13, 2010.

D. Q. Mayne, J. B. Rawlings, C. V. Rao, and P. O. Scokaert, Constrained model predictive control: Stability and optimality, Automatica, vol.36, issue.6, p.85, 2000.

E. C. Kerrigan and J. M. Maciejowski, Invariant sets for constrained nonlinear discrete-time systems with application to feasibility in model predictive control, Proceedings of the 39th IEEE Conference on, vol.5, p.13, 2000.

J. Barraquand, B. Langlois, and J. Latombe, Numerical potential field techniques for robot path planning, IEEE Transactions on Systems, Man, and Cybernetics, vol.22, issue.2, p.13, 1992.

J. Gregoire, Priority-based coordination of mobile robots, vol.15, pp.124-126, 2014.
URL : https://hal.archives-ouvertes.fr/tel-01081216

J. Park, S. Karumanchi, and K. Iagnemma, Homotopy-Based Divide-and-Conquer Strategy for Optimal Trajectory Planning via Mixed-Integer Programming, IEEE Transactions on Robotics, vol.31, issue.5, pp.1101-1115, 2015.

J. P. Laumond, M. Taix, and P. Jacobs, A motion planner for car-like robots based on a mixed global/local approach, EEE International Workshop on Intelligent Robots and Systems, Towards a New Frontier of Applications, vol.2, p.13, 1990.

M. G. Laidlaw and C. M. Dewitt, Feynman functional integrals for systems of indistinguishable particles, Physical Review D, vol.3, issue.6, p.13, 1971.

K. Kant and S. W. Zucker, Toward efficient trajectory planning: The path-velocity decomposition, The International Journal of Robotics Research, vol.5, issue.3, p.14, 1986.

F. Altche, X. Qian, and A. De-la-fortelle, Time-optimal coordination of mobile robots along specified paths, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.5020-5026, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01360141

F. Altché and A. De-la-fortelle, Analysis of optimal solutions to robot coordination problems to improve autonomous intersection management policies, 2016 IEEE Intelligent Vehicles Symposium (IV), pp.86-91, 2016.

F. Altché, X. Qian, and A. De-la-fortelle, Least restrictive and minimally deviating supervisor for Safe semi-autonomous driving at an intersection: An MIQP approach, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), pp.2520-2526, 2016.

F. Altche, X. Qian, and A. De-la-fortelle, An Algorithm for Supervised Driving of Cooperative Semi-Autonomous Vehicles, IEEE Transactions on Intelligent Transportation Systems, vol.18, pp.3527-3539, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01691892

F. Altché, P. Polack, and A. De-la-fortelle, A Simple Dynamic Model for Aggressive, Near-Limits Trajectory Planning, 2017 IEEE Intelligent Vehicles Symposium (IV), pp.1-6, 2017.

F. Altche, P. Polack, and A. De-la-fortelle, High-speed trajectory planning for autonomous vehicles using a simple dynamic model, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), pp.1-7, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01691788

F. Altche and A. De-la-fortelle, Partitioning of the free space-time for on-road navigation of autonomous ground vehicles, 2017 IEEE 56th Annual Conference on Decision and Control (CDC), pp.2126-2133, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01691793

F. Altche and A. De-la-fortelle, An LSTM network for highway trajectory prediction, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), pp.353-359, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01691832

X. Qian, F. Altché, P. Bender, C. Stiller, and A. De-la-fortelle, Optimal trajectory planning for autonomous driving integrating logical constraints: An MIQP perspective, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), vol.75, p.108, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01342358

X. Qian, F. Altché, J. Gregoire, and A. De-la-fortelle, Autonomous Intersection Management Systems: Criteria, Implementation and Evaluation, IET Intelligent Transport Systems, 2017.

P. Polack, F. Altche, B. D'andrea-novel, and A. De-la-fortelle, The kinematic bicycle model: A consistent model for planning feasible trajectories for autonomous vehicles?, 2017 IEEE Intelligent Vehicles Symposium (IV), pp.812-818, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01520869

P. Polack, F. Altché, B. D'andréa-novel, and A. De-la-fortelle, Guaranteeing Consistency in a Motion Planning and Control Architecture Using a Kinematic Bicycle Model, Proceedings of the American Control Conference, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01980743

L. Bruni, A. Colombo, and D. D. Vecchio, Robust multi-agent collision avoidance through scheduling, 52nd IEEE Conference on Decision and Control, p.23, 2013.

J. Gregoire, X. Qian, E. Frazzoli, A. De-la-fortelle, and T. Wongpiromsarn, Capacityaware backpressure traffic signal control, IEEE Transactions on Control of Network Systems, vol.2, issue.2, p.23, 2015.
URL : https://hal.archives-ouvertes.fr/hal-00865966

J. Peng and S. Akella, Coordinating Multiple Robots with Kinodynamic Constraints Along Specified Paths, The International Journal of Robotics Research, vol.24, p.38, 2005.

P. Scerri, S. Owens, B. Yu, and K. Sycara, A decentralized approach to space deconfliction, 2007 10th International Conference on Information Fusion, p.25, 2007.

M. Lizarraga and G. H. Elkaim, Spatially deconflicted path generation for multiple UAVs in a bounded airspace, 2008 IEEE/ION Position, Location and Navigation Symposium, p.25, 2008.

S. M. Lavalle and S. A. Hutchinson, Optimal motion planning for multiple robots having independent goals, IEEE Transactions on Robotics and Automation, vol.14, issue.6, p.26, 1998.

T. Siméon, S. Leroy, and J. Laumond, Path coordination for multiple mobile robots: A resolution-complete algorithm, IEEE Transactions on Robotics and Automation, vol.18, issue.1, p.26, 2002.

F. Alizadeh and D. Goldfarb, Second-Order Cone Programming, Math. Programming -Ser. B, vol.95, issue.3 -51, p.28, 2003.

. Gurobi-optimization and . Inc, Gurobi optimizer reference manual, vol.42, p.108, 2015.

A. Richards and J. How, Mixed-integer programming for control, Proceedings of the 2005, American Control Conference, p.30, 2005.

J. Garcia-nieto, A. C. Olivera, and E. Alba, Optimal cycle program of traffic lights with particle swarm optimization, IEEE Transactions on Evolutionary Computation, vol.17, issue.6, p.38, 2013.

Y. Yin, Robust optimal traffic signal timing, Transportation Research Part B: Methodological, vol.42, issue.10, p.38, 2008.

D. Mckenney and T. White, Distributed and adaptive traffic signal control within a realistic traffic simulation, Engineering Applications of Artificial Intelligence, vol.26, issue.1, p.38, 2013.

S. Faye, C. Chaudet, and I. Demeure, A distributed algorithm for adaptive traffic lights control, 15th International IEEE Conference on Intelligent Transportation Systems, p.38, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00778436

C. C. -n.-pandit, G. Kartik, and . Dipak, Adaptive Traffic Signal ControlWith Vehicular Ad Hoc Networks, IEEE Transactions on Vehicular Technology, vol.62, issue.4, p.38, 2013.

K. Dresner and P. Stone, Multiagent traffic management: a reservation-based intersection control mechanism, Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, p.38, 2004.

M. Vasirani and S. Ossowski, Evaluating Policies for Reservation-based Intersection Control, Proceedings of the 14th Portuguese Conference on Artificial Intelligence, p.44, 2009.

A. De-la-fortelle, Analysis of reservation algorithms for cooperative planning at intersections, Proceedings of the 13th International IEEE Annual Conference on Intelligent Transportation Systems, p.38, 2010.

A. R. Bill, A Next-Generation Intersection Control Algorithm for Autonomous Vehicles, Transportation Research Board 92nd Annual Meeting, p.38, 2013.

V. Digani, M. A. Hsieh, L. Sabattini, and C. Secchi, A Quadratic Programming approach for coordinating multi-AGV systems, 2015 IEEE International Conference on Automation Science and Engineering (CASE), p.38, 2015.

M. G. Plessen, P. F. Lima, J. Martensson, A. Bemporad, and B. Wahlberg, Trajectory Planning Under Vehicle Dimension Constraints Using Sequential Linear Programming, IEEE Conference on Intelligent Transportation Systems, Proceedings, p.38, 2017.

A. Richards, T. Schouwenaars, J. P. How, and E. Feron, Spacecraft Trajectory Planning with Avoidance Constraints Using Mixed-Integer Linear Programming, Journal of Guidance, Control, and Dynamics, vol.25, issue.4, p.39, 2002.

D. Krajzewicz, J. Erdmann, M. Behrisch, and L. Bieker, Recent development and applications of SUMO -Simulation of Urban MObility, International Journal On Advances in Systems and Measurements, vol.5, p.42, 2012.

E. Martin, S. Shaheen, and J. Lidicker, Impact of carsharing on household vehicle holdings: Results from north american shared-use vehicle survey, Transportation Research Record: Journal of the Transportation Research Board, issue.2143, p.49, 2010.

A. Colombo, A mathematical framework for cooperative collision avoidance of human-driven vehicles at intersections, 2014 11th International Symposium on Wireless Communications Systems (ISWCS), vol.51, p.61, 2014.

G. R. Campos, F. D. Rossa, and A. Colombo, Optimal and least restrictive supervisory control: Safety verification methods for human-driven vehicles at traffic intersections, 2015 54th IEEE Conference on Decision and Control, p.61, 2015.

T. Fraichard and H. Asama, Inevitable Collision States. A Step Towards Safer Robots?, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, vol.1, pp.50-54, 2003.
URL : https://hal.archives-ouvertes.fr/inria-00546366

R. Vasudevan, V. Shia, Y. Gao, R. Cervera-navarro, R. Bajcsy et al., Safe semi-autonomous control with enhanced driver modeling, 2012 American Control Conference, p.50, 2012.

A. Gray, Y. Gao, J. K. Hedrick, and F. Borrelli, Robust Predictive Control for semiautonomous vehicles with an uncertain driver model, 2013 IEEE Intelligent Vehicles Symposium, pp.50-78, 2013.

A. Gray, Y. Gao, T. Lin, J. K. Hedrick, and F. Borrelli, Stochastic predictive control for semi-autonomous vehicles with an uncertain driver model, 16th International IEEE Conference on Intelligent Transportation Systems, p.50, 2013.

C. Liu, A. Gray, C. Lee, J. K. Hedrick, and J. Pan, Nonlinear stochastic predictive control with unscented transformation for semi-autonomous vehicles, p.2014

T. Au, S. Zhang, and P. Stone, Autonomous Intersection Management for SemiAutonomous Vehicles, p.50, 2015.

S. A. Reveliotis and E. Roszkowska, On the Complexity of Maximally Permissive Deadlock Avoidance in Multi-Vehicle Traffic Systems, IEEE Transactions on Automatic Control, vol.55, p.50, 2010.

H. Ahn and D. D. Vecchio, Semi-autonomous intersection collision avoidance through job-shop scheduling, Proceedings of the 19th International Conference on Hybrid Systems: Computation and Control, p.50, 2016.

. Tass-international, , pp.61-79

R. Benenson, S. Petti, T. Fraichard, and M. Parent, Towards urban driverless vehicles, International Journal of Vehicle Autonomous Systems, vol.6, issue.1/2, p.73, 2008.
URL : https://hal.archives-ouvertes.fr/inria-00115112

P. Falcone, F. Borrelli, H. E. Tseng, J. Asgari, and D. Hrovat, A hierarchical Model Predictive Control framework for autonomous ground vehicles, p.73, 2008.

J. Frasch, A. Gray, M. Zanon, H. Ferreau, S. Sager et al., An autogenerated nonlinear MPC algorithm for real-time obstacle avoidance of ground vehicles, European Control Conference (ECC), p.80, 2013.

Y. Koh, K. Yi, H. Her, and K. Kim, A speed control race driver model with on-line driving trajectory planning, The Dynamics of Vehicles on Roads and Tracks: Proceedings of the 24th Symposium of the International Association for Vehicle System Dynamics (IAVSD 2015), p.80, 2015.

D. Kim, J. Kang, and K. Yi, Control strategy for high-speed autonomous driving in structured road, 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), p.74, 2011.

H. Pacejka, Tire and vehicle dynamics, 2005.

C. V. Altrock, Fuzzy logic technologies in automotive engineering, WESCON/94. Idea/Microelectronics. Conference Record, p.74, 1994.

M. A. Abbas, R. Milman, and J. M. Eklund, Obstacle avoidance in real time with Nonlinear Model Predictive Control of autonomous vehicles, 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE), pp.74-75, 2014.

V. Cardoso, J. Oliveira, T. Teixeira, C. Badue, F. Mutz et al., A Model-Predictive Motion Planner for the IARA Autonomous Car, pp.74-75, 2016.

P. Falcone, F. Borrelli, J. Asgari, H. E. Tseng, and D. Hrovat, Predictive Active Steering Control for Autonomous Vehicle Systems, IEEE Transactions on Control Systems Technology, vol.15, p.74, 2007.

J. Park, D. Kim, Y. Yoon, H. J. Kim, and K. Yi, Obstacle avoidance of autonomous vehicles based on model predictive control, Proc. of the Institution of Mechanical Engineers, vol.223, p.74, 2009.

Y. Gao, T. Lin, F. Borrelli, E. Tseng, and D. Hrovat, Predictive Control of Autonomous Ground Vehicles With Obstacle Avoidance on Slippery Roads, ASME 2010 Dynamic Systems and Control Conference, vol.1, p.74, 2010.

A. Liniger, A. Domahidi, and M. Morari, Optimization-based autonomous racing of 1: 43 scale rc cars, Optimal Control Applications and Methods, vol.36, issue.5, p.74, 2015.

J. Liu, P. Jayakumar, J. L. Stein, and T. Ersal, A Multi-Stage Optimization Formulation for MPC-Based Obstacle Avoidance in Autonomous Vehicles Using a LIDAR Sensor, ASME 2014 Dynamic Systems and Control Conference, p.74, 2014.

J. Jeon, R. V. Cowlagi, S. C. Peters, S. Karaman, E. Frazzoli et al., Optimal motion planning with the half-car dynamical model for autonomous high-speed driving, 2013 American Control Conference, p.74, 2013.

J. Kong, M. Pfeiffer, G. Schildbach, and F. Borrelli, Kinematic and dynamic vehicle models for autonomous driving control design, 2015 IEEE Intelligent Vehicles Symposium (IV), p.80, 2015.

F. Borrelli, P. Falcone, T. Keviczky, J. Asgari, and D. Hrovat, MPC-based approach to active steering for autonomous vehicle systems, International Journal of Vehicle Autonomous Systems, vol.3, issue.2, p.78, 2005.

B. Houska, H. Ferreau, and M. Diehl, ACADO Toolkit -An Open Source Framework for Automatic Control and Dynamic Optimization, Optimal Control Applications and Methods, vol.32, issue.3, p.79, 2011.

J. Kosecka, R. Blasi, C. Taylor, and J. Malik, Vision-based lateral control of vehicles, Proceedings of Conference on Intelligent Transportation Systems, vol.46, p.79, 1997.

J. Breuer, Analysis of driver-vehicle-interactions in an evasive manoeuvre -results of "moose test" studies, Proceedings: International Technical Conference on the Enhanced Safety of Vehicles, p.79, 1998.

A. Constantin, J. Park, and K. Iagnemma, A margin-based approach to threat assessment for autonomous highway navigation, 2014 IEEE Intelligent Vehicles Symposium Proceedings, vol.12, p.107, 2014.

S. Lefevre, C. Laugier, and J. Ibanez-guzman, Evaluating risk at road intersections by detecting conflicting intentions, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, p.106, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00678482

J. Van-den, P. Berg, K. Abbeel, and . Goldberg, LQG-MP: Optimized path planning for robots with motion uncertainty and imperfect state information, The International Journal of Robotics Research, vol.30, p.106, 2011.

Q. Wang, T. Weiskircher, and B. Ayalew, Hierarchical Hybrid Predictive Control of an Autonomous Road Vehicle, 2015 Dynamic Systems and Control Conference, p.106, 2015.

Q. Wang, B. Ayalew, and T. Weiskircher, Optimal assigner decisions in a hybrid predictive control of an autonomous vehicle in public traffic, Proceedings of the American Control Conference, p.106, 2016.

M. Ono, G. Droge, H. Grip, O. Toupet, C. Scrapper et al., Road-following formation control of autonomous ground vehicles, 2015 54th IEEE Conference on Decision and Control (CDC), no. Cdc, p.106, 2015.

T. Gu, J. Atwood, C. Dong, J. M. Dolan, and J. Lee, Tunable and stable realtime trajectory planning for urban autonomous driving, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), p.106, 2015.

S. A. Vavasis, Complexity theory: quadratic programming Complexity Theory: Quadratic Programming, p.107, 2009.

R. Seidel, Small-dimensional linear programming and convex hulls made easy, Discrete & Computational Geometry, vol.6, issue.1, p.108, 1991.

. Google, Google self-driving car project monthly report, tech. rep, p.120, 2016.

G. Schildbach, M. Soppert, and F. Borrelli, A collision avoidance system at intersections using Robust Model Predictive Control, 2016 IEEE Intelligent Vehicles Symposium (IV), pp.120-125, 2016.

J. Ziehn, M. Ruf, D. Willersinn, B. Rosenhahn, J. Beyerer et al., A tractable interaction model for trajectory planning in automated driving, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), p.120, 2016.

S. Lefèvre, D. Vasquez, and C. Laugier, A survey on motion prediction and risk assessment for intelligent vehicles, ROBOMECH Journal, vol.1, p.120, 2014.

C. Tay, K. Mekhnacha, and C. Laugier, Probabilistic Vehicle Motion Modeling and Risk Estimation, Handbook of Intelligent Vehicles, p.121, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00779183

T. Streubel and K. H. Hoffmann, Prediction of driver intended path at intersections, IEEE Intelligent Vehicles Symposium, Proceedings, p.121, 2014.

A. Carvalho, Y. Gao, S. Lefevre, and F. Borrelli, Stochastic predictive control of autonomous vehicles in uncertain environments, 12th International Symposium on Advanced Vehicle Control, p.121, 2014.

H. M. Mandalia and M. D. Salvucci, Using Support Vector Machines for LaneChange Detection, Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol.49, p.121, 1965.

P. Kumar, M. Perrollaz, S. Lefevre, and C. Laugier, Learning-based approach for online lane change intention prediction, 2013 IEEE Intelligent Vehicles Symposium (IV), pp.121-128, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00821309

A. Houenou, P. Bonnifait, V. Cherfaoui, and W. Yao, Vehicle trajectory prediction based on motion model and maneuver recognition, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, p.121, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00881100

S. Yoon and D. Kum, The multilayer perceptron approach to lateral motion prediction of surrounding vehicles for autonomous vehicles, 2016 IEEE Intelligent Vehicles Symposium (IV), pp.121-128, 2016.

A. Khosroshahi, E. Ohn-bar, and M. M. Trivedi, Surround vehicles trajectory analysis with recurrent neural networks, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), p.121, 2016.

D. J. Phillips, T. A. Wheeler, and M. J. Kochenderfer, Generalizable Intention Prediction of Human Drivers at Intersections, 2017 IEEE Intelligent Vehicles Symposium (IV), p.132, 2017.

B. Volz, H. Mielenz, R. Siegwart, and J. Nieto, Predicting pedestrian crossing using Quantile Regression forests, 2016 IEEE Intelligent Vehicles Symposium, p.121, 2016.

R. S. Tomar and S. Verma, Safety of Lane Change Maneuver Through A Priori Prediction of Trajectory Using Neural Networks, Network Protocols and Algorithms, vol.4, issue.1, pp.121-128, 2012.

Q. Liu, B. Lathrop, and V. Butakov, Vehicle lateral position prediction: A small step towards a comprehensive risk assessment system, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), pp.121-134, 2014.

S. Zernetsch, S. Kohnen, M. Goldhammer, K. Doll, and B. Sick, Trajectory prediction of cyclists using a physical model and an artificial neural network, 2016 IEEE Intelligent Vehicles Symposium (IV), p.121, 2016.

Y. Duan, Y. Lv, and F. Wang, Travel time prediction with LSTM neural network, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), pp.121-128, 2016.

A. Alahi, K. Goel, V. Ramanathan, A. Robicquet, L. Fei-fei et al., Social LSTM: Human Trajectory Prediction in Crowded Spaces, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.121-128, 2016.

T. Fushiki, Estimation of prediction error by using k-fold cross-validation, Statistics and Computing, vol.21, p.121, 2011.

Y. Gal and Z. Ghahramani, Dropout as a bayesian approximation: Representing model uncertainty in deep learning, Proceedings of The 33rd International Conference on Machine Learning, vol.48, p.121, 2016.

U. Ozguner, C. Stiller, and K. Redmill, Systems for safety and autonomous behavior in cars: The darpa grand challenge experience, Proceedings of the IEEE, vol.95, issue.2, p.124, 2007.

S. Hochreiter and J. Schmidhuber, Long short-term memory, Neural computation, vol.9, issue.8, pp.128-131, 1997.

F. A. Gers, J. Schmidhuber, and F. Cummins, Learning to Forget: Continual Prediction with LSTM, Neural Computation, vol.12, pp.128-131, 2000.

A. Zyner, S. Worrall, J. Ward, and E. Nebot, Long Short Term Memory for Driver Intent Prediction, 2017 IEEE Intelligent Vehicles Symposium (IV), p.128, 2017.

C. Ding, W. Wang, X. Wang, and M. Baumann, A neural network model for driver's lane-changing trajectory prediction in urban traffic flow, Mathematical Problems in Engineering, vol.2013, p.128, 2013.

J. Zheng, K. Suzuki, and M. Fujita, Predicting driver's lane-changing decisions using a neural network model, Simulation Modelling Practice and Theory, vol.42, p.128, 2014.

U. S. , Federal Highway Administration, p.128, 2005.

J. Morton and T. A. Wheeler, Project Report Deep Learning of Spatial and Temporal Features for Automotive Prediction, p.128, 2016.

M. Montanino and V. Punzo, Making ngsim data usable for studies on traffic flow theory: Multistep method for vehicle trajectory reconstruction, Journal of the Transportation Research Board, issue.2390, p.128, 2013.

A. Savitzky and M. J. Golay, Smoothing and differentiation of data by simplified least squares procedures, Analytical chemistry, vol.36, issue.8, p.128, 1964.

J. Schlechtriemen, A. Wedel, J. Hillenbrand, G. Breuel, and K. Kuhnert, A lane change detection approach using feature ranking with maximized predictive power, 2014 IEEE Intelligent Vehicles Symposium Proceedings, p.129, 2014.

J. Schlechtriemen, F. Wirthmueller, A. Wedel, G. Breuel, and K. D. Kuhnert, When will it change the lane? A probabilistic regression approach for rarely occurring events, IEEE Intelligent Vehicles Symposium, Proceedings, p.130, 2015.

D. T. Field and J. P. Wann, Perceiving time to collision activates the sensorimotor cortex, Current Biology, vol.15, issue.5, p.130, 2005.

F. Chollet, Keras, p.131, 2015.

A. Kanaris, E. Kosmatopoulos, and P. Loannou, Strategies and spacing requirements for lane changing and merging in automated highway systems, IEEE Transactions on Vehicular Technology, vol.50, issue.6, p.139, 2001.

J. Wei, J. M. Dolan, and B. Litkouhi, Autonomous vehicle social behavior for highway entrance ramp management, 2013 IEEE Intelligent Vehicles Symposium (IV), p.139, 2013.

T. Bandyopadhyay, K. S. Won, E. Frazzoli, D. Hsu, W. S. Lee et al., Intentionaware motion planning, Algorithmic Foundations of, p.140, 2013.

S. Brechtel, T. Gindele, and R. Dillmann, Probabilistic decision-making under uncertainty for autonomous driving using continuous POMDPs, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), p.140, 2014.

V. Sezer, T. Bandyopadhyay, D. Rus, E. Frazzoli, and D. Hsu, Towards autonomous navigation of unsignalized intersections under uncertainty of human driver intent, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), p.140, 2015.

. Virtualiz, , p.143

A. Richards and J. How, Aircraft trajectory planning with collision avoidance using mixed integer linear programming, Proceedings of the 2002 American Control Conference, vol.3, p.2, 2002.

D. Younger, Minimum feedback arc sets for a directed graph, IEEE Transactions on Circuit Theory, vol.10, p.1, 1963.

W. Zhan, C. Liu, C. Chan, and M. Tomizuka, A non-conservatively defensive strategy for urban autonomous driving, 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), p.6, 2016.

X. Qian, J. Gregoire, F. Moutarde, and A. De-la-fortelle, Priority-based coordination of autonomous and legacy vehicles at intersection, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC), p.6, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01059090

D. Jiang, V. Taliwal, A. Meier, W. Holfelder, and R. Herrtwich, Design of 5.9 ghz dsrcbased vehicular safety communication, IEEE Wireless Communications, vol.13, p.6, 2006.

S. Demmel, A. Lambert, D. Gruyer, A. Rakotonirainy, and E. Monacelli, Empirical IEEE 802.11p performance evaluation on test tracks, 2012 IEEE Intelligent Vehicles Symposium, p.6, 2012.
URL : https://hal.archives-ouvertes.fr/hal-01071831

R. Guntur and S. Sankar, A friction circle concept for dugoff's tyre friction model, International Journal of Vehicle Design, vol.1, issue.4, pp.373-377, 1980.

E. Siampis, E. Velenis, and S. Longo, Torque Vectoring Model Predictive Control with Velocity Regulation Near the Limits of Handling, pp.2553-2558, 2015.

G. Williams, P. Drews, B. Goldfain, J. M. Rehg, and E. A. Theodorou, Aggressive driving with model predictive path integral control, 2016 IEEE International Conference on Robotics and Automation (ICRA), p.9, 2016.

J. Funke, P. Theodosis, R. Hindiyeh, G. Stanek, K. Kritatakirana et al., Up to the limits: Autonomous Audi TTS, 2012 IEEE Intelligent Vehicles Symposium, p.10, 2012.

H. Federer, Curvature measures, Transactions of the American Mathematical Society, vol.93, issue.3, p.1, 1959.

C. Thäle, 50 years sets with positive reach-a survey, Surveys in Mathematics & its Applications, vol.3, p.1, 2008.