A Motion Planning and Tracking Framework for Autonomous Vehicles Based on Artificial Potential Field Elaborated Resistance Network Approach

Huang, Yanjun; Ding, Haitao; Zhang, Yubiao; Wang, Hong; Cao, Dongpu; Xu, Nan; Hu, Chuan

doi:10.1109/tie.2019.2898599

Public

A Motion Planning and Tracking Framework for Autonomous Vehicles Based on Artificial Potential Field Elaborated Resistance Network Approach

Published in IEEE Transactions on Industrial Electronics • Feb 15, 2019

Authors:

Yanjun Huang

Haitao Ding

Yubiao Zhang

Abstract

This paper presents a novel motion planning and tracking framework for automated vehicles based on artificial potential field (APF) elaborated resistance approach. Motion planning is one of the key parts of autonomous driving, which plans a sequence of movement states to help vehicles drive safely, ...

Subject

Trajectory

Motion planning

Process (computing)

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