自动驾驶系统的运行环境复杂多样. 考虑到传感器本身的性能局限及感知算法在特定触发条件下
的功能不足, 自动驾驶系统上游感知结果不可避免地会出现错误. 因此针对自动驾驶决策规划 …

Unmanned aerial vehicles (UAV) showed great potential in improving the efficiency of parcel
delivery applications in the coming smart cities era. Unfortunately, the trustworthy positioning …

Deep reinforcement learning (DRL) has become a powerful method for autonomous driving
while often lacking safety guarantees. In this paper, we propose a Risk-fused Constraint …

An efficient motion planning and control model for dynamic traffic environments is proposed
to realise automated lane change of autonomous vehicles and meet the safety, comfort and …

Trajectory planning in mixed traffic scenarios is a critical and demanding task in autonomous
driving, since it necessitates addressing intricate interactions among traffic agents while …

Motion planning in autonomous driving is a major challenge, as it needs to consider the
continuity between the actions output by internal modules and the need for consistency in …