طراحی مانور اجتناب از برخورد با خودروی منحرف مسیر مخالف به کمک کنترل پیش‌بین

[1] Critical reasons for crashes investigated in the national motor vehicle crash causation survey, National Highway Traffic Safety Administration (NHTSA), (2018).

[2] R. Lattarulo, J.P. Rastelli, A hybrid planning approach based on MPC and parametric curves for overtaking maneuvers, Sensors, 21(2) (2021) 1-19.

[3] B. Shahian-Jahromi, S.A. Hussain, B. Karakas, S. Cetin, Control of autonomous ground vehicles: a brief technical review, 4th International Conference on Mechanics and Mechatronics Research, (2017) 1-6.

[4] Table 29: Crashes by first harmful event, type of collision and crash severity, National Highway Traffic Safety Administration (NHTSA), (2016-2019).

[5] J. Chen, W. Zhan, M. Tomizuka, Constrained iterative LQR for on-road autonomous driving motion planning, IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), (2017) 2232-2238.

[6] C. Katrakazas, M. Quddus, W.H. Chen,  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, 60 (2015) 416-442.

[7] S. Dixit, S. Fallah, U. Montanaro, M. Dianati, A. Stevens, F. Mccullough, A. Mouzakitis, Trajectory planning & tracking for autonomous overtaking: state of the art and future prospects, Annual Reviews in Control, 45 (2018) 76-86.

[8] B. Paden, M. Cap, S.Z. Yong, D. Yershov, E. Frazzoli, A survey of motion planning and control techniques for self-driving urban vehicles, IEEE Transactions on Intelligent Vehicles, 1 (2016) 33-55.

[9] Y. Rasekhipour, A. Khajepour, S.K. Chen, B. Litkouhi, A potential field-based model predictive path-planning controller for autonomous road vehicles, IEEE Transactions on Intelligent Transportation Systems, 18(5) (2016) 1255-1267.

[10] U.Z. AbdulHamid, H. Zamzuri, T. Yamada, M.A. AbdulRahman, Y. Saito, P. Raksincharoensak, Modular design of artificial potential field and nonlinear model predictive control for a vehicle collision avoidance system with move blocking strategy, Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 232(10) (2018) 1-21.

[11] J. Funke, P. Theodosis, R. Hindiyeh, G. Stanek, K. Kritatakirana, C. Gerdes, D. Langer, M. Hernandez, B.M. Bessler, B. Huhnke, Up to the limits: autonomous Audi TTS, Proceedings of the IEEE Intelligent Vehicles Symposium (IV), (2012) 541-547.

[12] W. Xu, J. Wei, J.M. Dolan, H. Zhao, H. Zha, A real-time motion planner with trajectory optimization for autonomous vehicles, Proceedings of the 2012 IEEE International Conference on Robotics and Automation (ICRA), (2012) 2061-2067.

[13] D. Gonzalez, J. Perez, R. Lattarulo, V. Milanes, F. Nashashibi, Continuous curvature planning with obstacle avoidance capabilities in urban scenarios, Proceedings of the 7th International IEEE Conference on Intelligent Transportation Systems (ITSC), (2014) 1430-1435.

[14] T. Berglund, A. Brodnik, H. Jonsson, M. Staffanson, Planning smooth and obstacle-avoiding B-spline paths for autonomous mining vehicles, IEEE Transactions on Automation Science & Engineering, 7 (2010) 167-172.

[15] A. Ghaffari, S.N. Minaee, Lane change path planning in emergency situation based on skilled driver's performance, Amirkabir Journal of Mechanical Engineering, 54(1) (2021), (in Persian).

[16] Y. Kuwata, G.A. Fiore, J. Teo, E. Frazzoli, J.P. How, Motion planning for urban driving using RRT, Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, (2008) 1681-1686.

[17] S. Karaman, E. Frazzoli, Incremental sampling-based algorithms for optimal motion planning, Robotics: Science and Systems (RSS 2010), (2010) 71-87.

[18] J. Ziegler, C. Stiller, Spatiotemporal state lattices for fast trajectory planning in dynamic on-road driving scenarios, Proceedings of the 2009 IEEE International Conference on Intelligent Robots and Systems (IROS), (2009) 1879-1884.

[19] M. McNaughton, C. Urmson, J.M. Dolan, J.W. Lee, Motion planning for autonomous driving with a conformal spatiotemporal lattice, IEEE International Conference on Robotics and Automation (ICRA), (2011) 4889-4895.

[20] J. Bohren, T. Foote, J. Keller, A. Kushleyev, D. Lee, A. Stewart, P. Vernaza, J. Derenick, J. Spletzer, B. Satterfield, Little Ben: The Ben Franklin racing team’s entry in the 2007 Darpa urban challenge, Journal of Field Robotics, 25(9) (2008) 598-614.

[21] D. Dolgov, S. Thrun, M. Montemerlo, J. Diebel, Practical search techniques in path planning for autonomous driving, Proceedings of the First International Symposium on Search Techniques in Artificial Intelligence and Robotics (STAIR-08), (2008).

[22] D. Ferguson, S. Anthony, Field D*: an interpolation-based path planner and replanner, Robotics Research, Springer Berlin Heidelberg, (2007) 239-253.

[23] G. Tianyu, J. Atwood, C. Dong, J.M. Dolan, J.W. Lee, Tunable and stable real-time trajectory planning for urban autonomous driving, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, (2015).

[24] G. Tianyu, J.M. Dolan, J.W. Lee, Runtime-bounded tunable motion planning for autonomous driving, IEEE Intelligent Vehicles Symposium (IV), (2016).

[25] C. Liu, W. Zhan, M. Tomizuka, Speed profile planning in dynamic environments via temporal optimization, IEEE Intelligent Vehicles Symposium (IV), (2017).

[26] J. Ziegler, P. Bender, T. Dang, C. Stiller, Trajectory planning for Bertha - a local, continuous method, Proceedings of the IEEE Intelligent Vehicle Symposium (IV), (2014) 450-457.

[27] X. Zhang, A. Liniger, F. Borrelli, Optimization-based collision avoidance, IEEE Transactions on Control Systems Technology, 29(3) (2020) 972-983.

[28] R. Patel, J. Goulart, Trajectory generation for aircraft avoidance maneuvers using online optimization, Journal of Guidance, Control and Dynamics, 34(1) (2011) 218-230.

[29] B. Kim, D. Kim, S. Park, Y. Jung, K. Yi, Automated complex urban driving based on enhanced environment representation with gps/map, radar, lidar and vision, IFAC-PapersOnLine, 49 (2016) 190-195.

[30] J. Nilsson, P. Falcone, M. Ali, J. Sjoberg, Receding horizon maneuver generation for automated highway driving, Control Engineering Practice, 41 (2015) 124-133.

[31] M.M. Jalalmaab, Model Predictive Control of Highway Emergency Maneuvering and Collision Avoidance, PhD Thesis, University of Waterloo, Ontario, Canada, (2017).

[32] M. Ammour, R. Orjuela, M. Basset, Collision avoidance for autonomous vehicle using MPC and time varying Sigmoid safety constraints, IFAC-PapersOnLine, 54(10) (2021) 39-44.

[33] Y. Gao, Model Predictive Control for Autonomous and Semiautonomous Vehicles, PhD Thesis, University of California, Berkeley, (2014).

[34] T. Idman, Path Planning and Trajectory Generation – Model Predictive Control, PhD Thesis, KTH Royal Institute of Technology, Stockholm, Sweden, (2019).

[35] S. Dixit, U. Montanaro, M. Dianati, D. Oxtoby, T. Mizutani, A. Mouzakitis, S. Fallah, Trajectory planning for autonomous high-speed overtaking in structured environments using robust MPC, IEEE Transactions on Intelligent Transportation Systems, 21(6) (2020) 2310-2323.

[36] Q. Shi, J. Zhao, A.E. Kamel, I. Lopez-Juarez, MPC based vehicular trajectory planning in structured environment, IEEE Access, 9 (2021) 21998-22013.

[37] M. Obayashi, K. Uto, G. Takano, Appropriate overtaking motion generating method using predictive control with suitable car dynamics, IEEE 55th Conference on Decision and Control (CDC), (2016).

[38] M. Obayashi, G. Takano, Real-time autonomous car motion planning using NMPC with approximated problem considering traffic environment, International Federation of Automatic Control, (2018) 279-286.

[39] J. Kong, M. Pfeiffer, G. Schildbach, F. Borrelli, Kinematic and dynamic vehicle models for autonomous driving control design, Proceedings of the 2015 IEEE Intelligent Vehicles Symposium (IV), (2015) 1094-1099.

[40] H. Chen, X. Zhang, Path planning for intelligent vehicle collision avoidance of dynamic pedestrian using Att-Lstm, MSFM and MPC at un-signalized crosswalk, IEEE Transactions on Industrial Electronics, 69(4) (2021) 4285-4295.

[41] R. Hajiloo, M. Abroshan, A. Khajepour, A. Kasaiezadeh, S.K. Chen, Integrated steering and differential braking for emergency collision avoidance in autonomous vehicles, IEEE Transactions on Intelligent Transportation Systems, 22(5) (2020) 3167-3178.

[42] M. Werling, D. Liccardo, Automatic collision avoidance using model-predictive online optimization, 51st IEEE Conference on Decision and Control, (2012).

[43] Z. Zuo, X. Yang, Z. Li, Y. Wang, Q. Han, L. Wang, MPC-based cooperative control strategy of path planning and trajectory tracking for intelligent vehicles, IEEE Transactions on Intelligent Vehicles, 6(3) (2021) 513-522.

[44] J. Palatti, A. Aksjonov, G.Alcan, V.Kyrki, Planning for safe abortable overtaking maneuvers in autonomous driving, 2021 IEEE International Intelligent Transportation Systems Conference, (2021).

[45] S. Lefevre, D. Vasquez, C. Laugier, A survey on motion prediction and risk assessment for intelligent vehicles, ROBOMECH Journal, Springer, 1(1) (2014) 1-14.

[46] M. Althoff, J.M. Dolan, Online verification of automated road vehicles using reachability analysis, IEEE Transactions on Robotics, 30 (2014) 903-918.

[47] R. Soloperto, J. Kohler, M.A. Muller, F. Allgower, Collision avoidance for uncertain nonlinear systems with moving obstacles using robust model predictive control, 18th European Control Conference (ECC), (2019).

[48] T. Kim, H.Y. Jeong, Crash probability and error rates for head-on collisions based on stochastic analyses, IEEE Transactions on Intelligent Transportation Systems, 11(4) (2010) 896-904.

[49] S. Kumari, S. Ghosh, D. Mitra, S. Sengupta, S. Mukhopadhyay, Collision risk assessment based on line of sight, IFAC-PapersOnLine, 53(2) (2020) 14972-14977.