Facts proved that obeying traffic laws keeps the promise to promote the safety of self-driving
vehicles. Current self-driving vehicles usually have fixed algorithms during autonomous …

Disengagement cases during naturalistic driving are rare or even one-shot, but valuable for
autonomous driving. The autonomous vehicles are necessary to continually learn from these …

Ensuring the safety of pedestrians is essential and challenging when autonomous vehicles
are involved. Classical pedestrian avoidance strategies cannot handle uncertainty, and …

Deep reinforcement learning (DRL) has emerged as a promising approach for developing
more intelligent autonomous vehicles (AVs). A typical DRL application on AVs is to train a …

Safety is one of the key challenges for autonomous vehicles and correct handling of an
occluded environment is a critical safety problem. To get prepared for hidden road users …

确保行人的安全对自动驾驶汽车而言至关重要, 同时也具有一定挑战. 经典的行人避撞策略无法
应对不确定性, 而基于学习的方法缺乏明确的性能保障. 本文提出一种基于混合强化学习的行人 …

The perception system is a key component of automated vehicles, as it relies on onboard
sensors to gather information. However, the system faces challenges due to occlusions that …