… This paper presents a joint driving behavior prediction and motion planning framework for
autonomous vehicles in complex and interactive environments. To integrate the influence of …

… planning method for autonomous driving that avoids both static and moving obstacles. The
proposed path planning … , and indicate its wide practical application to autonomous driving. …

… motion planning and control techniques have been implemented to autonomously driving on
… This paper presents a review of motion planning techniques implemented in the intelligent …

… -tasks of the hierarchical motion planning problem. This decision-making system of autonomous
driving can be decomposed into at least four layers, as stated in [3] (see Fig.2.). Route …

… Abstract—This study introduces a novel approach to autonomous motion planning, … lenges
of adaptability and safety in autonomous driving. Motion planning algorithms are essential for …

… attain superior plans in practical runtimes without degrading driving quality. … AUTONOMOUS
DRIVING (QUAD) The goal of our motion planner (QUAD) is to find the best trajectory plan …

… challenge to the deployment of safe autonomous vehicles (AVs). … regard to the AV’s intended
motion plan. In contrast, we propose a … could be used in the planning loop to reason about …

… Specifically, we formulate the motion planning problem as a nonlinear least squares problem,
where u is the optimization variables (action sequence), ui ⊂ u is a subset of the action …

… Abstract—This paper investigates real-time on-road motion planning algorithms for
autonomous passenger vehicles (APV) in urban environments, and propose a computationally …

… for highquality motion data that is rich in both interactions and annotation to develop motion
planning models. In this work, we introduce the most diverse interactive motion dataset to …