Towards robust decision-making for autonomous driving on highway
Reinforcement learning (RL) methods are commonly regarded as effective solutions for
designing intelligent driving policies. Nonetheless, even if the RL policy is converged after …
designing intelligent driving policies. Nonetheless, even if the RL policy is converged after …
A Survey of Decision-Making Safety Assessment Methods for Autonomous Vehicles
Z Pang, Z Chen, J Lu, M Zhang, X Feng… - IEEE Intelligent …, 2023 - ieeexplore.ieee.org
How to drive safely in complex real-world traffic settings has long been a question and
challenge for autonomous vehicles (AVs). Decision-making systems (DecSs) are the core of …
challenge for autonomous vehicles (AVs). Decision-making systems (DecSs) are the core of …
A Survey on an Emerging Safety Challenge for Autonomous Vehicles: Safety of the Intended Functionality
As the complexity of autonomous vehicles (AVs) continues to increase and artificial
intelligence algorithms are becoming increasingly ubiquitous, a novel safety concern known …
intelligence algorithms are becoming increasingly ubiquitous, a novel safety concern known …