Barrier-Enhanced Homotopic Parallel Trajectory Optimization for Safety-Critical Autonomous Driving
Enforcing safety while preventing overly conservative behaviors is essential for autonomous
vehicles to achieve high task performance. In this paper, we propose a barrier-enhanced …
vehicles to achieve high task performance. In this paper, we propose a barrier-enhanced …
Towards Robust Decision-Making for Autonomous Highway Driving Based on Safe Reinforcement Learning
R Zhao, Z Chen, Y Fan, Y Li, F Gao - Sensors, 2024 - mdpi.com
Reinforcement Learning (RL) methods are regarded as effective for designing autonomous
driving policies. However, even when RL policies are trained to convergence, ensuring their …
driving policies. However, even when RL policies are trained to convergence, ensuring their …
Incremental Bayesian Learning for Fail-Operational Control in Autonomous Driving
Abrupt maneuvers by surrounding vehicles (SVs) can typically lead to safety concerns and
affect the task efficiency of the ego vehicle (EV), especially with model uncertainties …
affect the task efficiency of the ego vehicle (EV), especially with model uncertainties …