Scenario-based stochastic MPC for vehicle speed control considering the interaction with pedestrians

Blackman, 1999 Cannon, 2007, MPC for stochastic systems, 255 Carvalho, A., Gao, Y., Lefevre, S., and Borrelli, F. (2014). Stochastic predictive control of autonomous vehicles in uncertain environments. In 12th International Symposium on Advanced Vehicle Control, 712–719. Falcone, 2007, Predictive active steering control for autonomous vehicle systems, IEEE Transactions on Control Systems Technology, 15, 566, 10.1109/TCST.2007.894653 Farmer, M.E., Hsu, R.L., and Jain, A.K. (2002). Interacting multiple model (IMM) kalman filters for robust high speed human motion tracking. In IEEE International Conference on Pattern Recognition, volume 2, 20–23. Li, 2000, engineer's guide to variable-structure multiple-model estimation for tracking, 3, 499 Muraleedharan, A., Okuda, H., and Suzuki, T. (2019). Improvement of control performance of sampling based model predictive control using gpu. In IEEE Intelligent Vehicles Symposium (IV), 1999–2004. Niehaus, 1991, An expert system for automated highway driving, IEEE Control Systems Magazine, 11, 53, 10.1109/37.75579 Okuda, H., Liang, Y., and Suzuki, T. (2018). Sampling based predictive control with frequency domain input sampling for smooth collision avoidance. In the 21st IEEE International Conference on Intelligent Transportation Systems (ITSC), 2426–2431. Onishi, 2018, Analysis of pedestrian-fatality statistics in japan and the us and vehicle-pedestrian communication for vehicle-pedestrian crash-warnings, International Journal of Automotive engineering, 9, 231, 10.20485/jsaeijae.9.4_231 Schildbach, 2015, Scenario model predictive control for lane change assistance on highways, IEEE Intelligent Vehicles Symposium (IV), 611 Schneider, N. and Gavrila, D.M. (2013). Pedestrian path prediction with recursive bayesian filters: A comparative study. In German Conference on Pattern Recognition, 174– 183. Springer. Tran, 2019, A model predictive control-based lane merging strategy for autonomous vehicles, IEEE Intelligent Vehicles Symposium (IV), 594 Tran, A.T., Sakamoto, N., and Suzuki, T. (2018). A combination of analytical and model predictive optimal methods for adaptive cruise control problem. In 2018 Australian & New Zealand Control Conference (ANZCC), 119–124. Vanholme, 2012, Highly automated driving on highways based on legal safety, IEEE Transactions on Intelligent Transportation Systems, 14, 333, 10.1109/TITS.2012.2225104 Vidyasagar, 2001, Randomized algorithms for robust controller synthesis using statistical learning theory, Automatica, 37, 1515, 10.1016/S0005-1098(01)00122-4