Humans drive in a holistic fashion which entails, in particular, understanding dynamic road
events and their evolution. Injecting these capabilities in autonomous vehicles can thus take …

Decision and control are core functionalities of high-level automated vehicles. Current
mainstream methods, such as functional decomposition and end-to-end reinforcement …

Autonomous vehicles must operate safely in their dynamic and continuously-changing
environment. However, the operating environment of an autonomous vehicle is complicated …

Autonomous vehicle requires a general planner for all possible scenarios. Existing
researches design such a planner by a unified scenario description. However, it may …

Reinforcement Learning (RL) is gaining much research attention because it allows the
system to learn from interacting with the environment. Yet, with all these successful …

The fossil fuel-based transportation sector is not only the fastest-growing sector but also an
unsustainable one and contributes critically toward emissions of anthropogenic carbon …

Reinforcement Learning (RL) is gaining much research attention because it allows the
system to learn from interacting with the environment. Yet, with all these successful …