Recently, the advancement in communications, intelligent transportation systems, and
computational systems has opened up new opportunities for intelligent traffic safety, comfort …

Accurate trajectory prediction of surrounding road users is critical to autonomous driving
systems. In mixed traffic flows, road users with different kinds of behaviors and styles bring …

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 …

Planning safe trajectories for autonomous vehicles in complex urban environments is
challenging since there are numerous semantic elements (such as dynamic agents, traffic …

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

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

Trajectory planning is of vital importance to decision-making for autonomous vehicles.
Currently, there are three popular classes of cost-based trajectory planning methods …

智能化是汽车的三大变革技术之一, 深度学习具有拟合能力优, 表征能力强和适用范围广的特点,
是进一步提升汽车智能性的重要途径. 该文系统性总结了用于自动驾驶汽车的深度神经网络 …

Safe and efficient decision-making and path planning is a challenging problem for
autonomous driving in highway because of numerous dynamic vehicles around the ego …

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