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pro vyhledávání: '"James, Vinit"'
Publikováno v:
IEEE International Conference on Robotics and Automation (ICRA), Paris, France, 2020, pp. 6419-6425
General-purpose planning algorithms for automated driving combine mission, behavior, and local motion planning. Such planning algorithms map features of the environment and driving kinematics into complex reward functions. To achieve this, planning e
Externí odkaz:
http://arxiv.org/abs/1912.03509
Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving
Publikováno v:
2019 IEEE/RSJ Int. Conf. on Intelligent Robots and Syst. (IROS), Macau, China, 2019, pp. 2658-2665
Behavior and motion planning play an important role in automated driving. Traditionally, behavior planners instruct local motion planners with predefined behaviors. Due to the high scene complexity in urban environments, unpredictable situations may
Externí odkaz:
http://arxiv.org/abs/1905.00229
Publikováno v:
Fair Disclosure Wire (Quarterly Earnings Reports). 12/12/2023.
