… Moreover, we incorporate our risk measure into a sampling based planner to generate
minimalrisk trajectories. Our results affirm that autonomous vehicles need to balance between …

… search methods for motion planning using motion primitives. … primitives generated by the
planner will correspond to a … is a common approach for vehicle motion planning. Prior methods …

… are targeted at autonomous vehicle motion planning are generally … , an autonomous vehicle
motion planning benchmark … -grained differences in motion planners across a wide range …

… This paper investigates the coupling of longitudinal and lateral dynamics for motion
planning of autonomous vehicles in normal driving. According to the numerical analyses and …

… LEARNING FOR DECISION MAKING AND MOTION PLANNING … motion planning for
autonomous vehicles based on deep RL. As shown in Fig. 1, the typical pipelines of an autonomous …

… catastrophic in autonomous vehicles. We aim to address the problem of motion planning in
the … We apply the proposed algorithm to the motion planning problem under occlusion. As a …

… Our results indicate that fail-safe motion planning has the potential to drastically reduce
accidents while not resulting in overly conservative behaviors of the autonomous vehicle. …

… This paper presents a method for optimally planning the motions of autonomous vehicles,
considering vehicle dynamics, terrain topography, obstacles, and surface mobility. The terrain …

… limitation of the vehicle. We propose efficient decision-making and motion planning based on
… occur in perception modules of actual autonomous vehicles. A particle filter-based generic …

… risk assessment and motion planning of autonomous vehicles. In this … motion planning
method for autonomously controlled vehicles based on motion prediction of surrounding vehicles. …