… The question that we aim to answer is: can an autonomous vehicle drive even better than
human drivers given the … Efficient sampling-based motion planning for on-road autonomous …

Sampling-based motion planning (SBMP) is a major algorithmic trajectory planning approach
in autonomous driving given its high efficiency and outstanding performance in practice. …

… As described above, the sampling-based and optimization-based methods have … of motion
planning for on-road autonomous driving. The proposed methods separate a whole planning …

… , due to human safety and efficiency requirements. The … and comparison of motion planners
on road networks with traffic … to evaluate the samplingbased motion planner proposed in …

… vehicle. The authors showed a significant improvement in the convergence of the sampling-based
path planner. … the improved motion planner to a real autonomous vehicle to evaluate …

… Motion planning for autonomous driving plays an important role in generating … Abstract:
Sampling-based motion planning methods are widely adopted in autonomous driving. Typically, …

… account the realistic context of on-road autonomous driving, they have proposed a fast RRT
… In this work, a new sampling-based motion planner is introduced for autonomous vehicle …

… This paper presents a hierarchical motion planning method for autonomous driving on structured
roads with avoidance of … Zheng, ‘‘Efficient sampling-based motion planning for on-road …

… An overview about motion planning techniques for automated vehicles is given in [1]. … Within
this work a samplebased planner for on-road automated driving, which is able to efficiently …

… that utilizes Sampling-Based Motion Planning (SBMP) to conduct motion planning in autonomous
driving, which involves … Zheng, “Efficient sampling-based motion planning for on-road …