Autonomous vehicles must be capable of driving safely and having some level of social
compliance with human drivers. Acting egoistically can make other drivers to take …

In safety-critical systems such as autonomous driving systems, behavior planning is a
significant challenge. The presence of numerous dynamic obstacles makes the driving …

This paper proposes a novel MDP framework to deal with the accuracy of the motorcycle
driving model. It proposes a weighted and unweighted Dynamical-Discretized Reward Field …

汽车面对的是复杂高动态的行驶环境, 且车载传感器信息具有不确定性, 对动态环境进行正确
态势评估是提高车辆, 尤其是智能车行驶安全性的关键因素之一, 本文中基于环境态势评估对 …

Autonomous vehicles need to accomplish their tasks while interacting with human drivers in
traffic. It is thus crucial to equip autonomous vehicles with artificial reasoning to better …

Real-time planning and control play essential roles in autonomous driving under the
structured environments. In this paper, a hierarchical planning and control framework is …

Autonomous vehicles have to navigate the surrounding environment with partial
observability of other objects sharing the road. Sources of uncertainty in autonomous vehicle …

This paper presents a longitudinal and lateral motion planning method for driver assistance
systems in urban scenarios. We proposed a Bayesian network based motion planner to …

Decision-making is a crucial challenge on the way to autonomous systems, including robots
and self-driving vehicles. In real-life tasks, dynamics play a critical role and the ability to …

The comprehension of a traffic situation plays a major role in driving a vehicle. Interpretable
information forms a basis for future projection, decision making and action performing, such …