Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Rosbach, Sascha"'
Automated vehicles operating in urban environments have to reliably interact with other traffic participants. Planning algorithms often utilize separate prediction modules forecasting probabilistic, multi-modal, and interactive behaviors of objects.
Externí odkaz:
http://arxiv.org/abs/2310.07706
Publikováno v:
2020 IEEE/RSJ Int. Conf. on Intelligent Robots and Syst. (IROS), Las Vegas, USA, 2020, pp. 5187-5193
General-purpose trajectory planning algorithms for automated driving utilize complex reward functions to perform a combined optimization of strategic, behavioral, and kinematic features. The specification and tuning of a single reward function is a t
Externí odkaz:
http://arxiv.org/abs/2007.05798
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:
In IFAC PapersOnLine 2015 48(21):814-819
