… and motion planners being essential prerequisites for IVs. This paper reviews stateof-the-art
motion planning methods for IVs, including pipeline planning and end-to-end planning …

… taxonomy of motion planning algorithms for highway driving with autonomous vehicles used
… the gaps to be filled in motion planning by the next autonomous driving car generation, and …

… This paper presents a hierarchical motion planning method for autonomous driving on
structured roads with avoidance of both static and moving obstacles. The proposed method starts …

… significant technologies for autonomous driving. To make motion planning models able to …
situations, a new motion planning framework called as “parallel planning” is proposed in this …

… In this section, the CILQR algorithm is applied to the motion planning problem in autonomous
driving. Subsection VII-A formulates the problem in the form of Problem 2. Subsection VII-B …

… In this paper, we formulate the autonomous driving as a hierarchical behavior and motion
planning problem. Then, we show that this problem is equivalent to an RL problem when the …

… motion planning model based on a deep cascaded neural network for autonomous driving
… used to extract spatial and temporal features in autonomous driving scenes, respectively, are …

… to allow motion planning to “see” ahead through predicting the intention of surrounding
vehicles because the prediction will allow a motion planner to (1) have a longer time for planning …

… The overall algorithm framework for optimal motion planning is shown in Fig. 1. This study
focuses on a hierarchical motion planning framework for autonomous driving on unidirectional …

… all these tasks contribute to planning. We introduce Unified Autonomous Driving (UniAD), a
comprehensive framework up-to-date that incorporates full-stack driving tasks in one network…