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

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,...

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Veröffentlicht in:	IEEE transactions on industrial electronics (1982) Jg. 67; H. 2; S. 1376 - 1386
Hauptverfasser:	Huang, Yanjun, Ding, Haitao, Zhang, Yubiao, Wang, Hong, Cao, Dongpu, Xu, Nan, Hu, Chuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.02.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Automotive parts Autonomous vehicle Autonomous vehicles Collision avoidance Heuristic algorithms Human motion Local current model predictive controller Motion planning Motional resistance obstacle avoidance Planning Potential fields Predictive control Resistance resistance network Roads Tracking Traffic speed Trajectory Trajectory analysis Vehicles
ISSN:	0278-0046, 1557-9948
Online-Zugang:	Volltext
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