This paper presents a hierarchical motion planning approach based on discrete optimization
method. Well-coupled longitudinal and lateral planning strategies with adaptability features …

Intelligent decision making and efficient trajectory planning are closely related in
autonomous driving technology, especially in highway environment full of dynamic …

Autonomous driving systems (ADSs) need to be able to respond quickly to changes in the
dynamic traffic scenario. However, regardless of the changes occurring in traffic scenes, the …

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 …

This paper presents a motion planner tailored for particular requirements for robotic car
navigation. We leverage B-spline curve properties to include vehicle's constraint …

Path planning and obstacle avoidance in 3D terrain have been identified as a monumental
challenge for a UAV in a variety of autonomous missions, such as disaster management …

The development of autonomous vehicles (AVs) is becoming increasingly important as the
need for reliable and safe transportation grows. However, in order to achieve level 5 …

回顾无人车运动规划问题. 无人车的运动受微分约束, 且运行环境既包括结构化的道路也包括非
结构化的野地. 根据具有阿克曼转向性质的车辆模型所具有的微分平坦性质 …

Left-turn planning is one of the formidable challenges for autonomous vehicles, especially at
unsignalized intersections due to the unknown intentions of oncoming vehicles. This paper …

This paper proposes an optimized trajectory planner and motion planner framework, which
aim to deal with obstacle avoidance along a reference road for autonomous driving in …