Intelligent Vehicle Path Planning Based on Improved Artificial Potential Field Method

Zhou Pan; Jia Qi Li; Kai Min Hu; Hao Zhu

doi:10.4028/www.scientific.net/AMM.742.349

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 742Intelligent Vehicle Path Planning Based on...

Intelligent Vehicle Path Planning Based on Improved Artificial Potential Field Method

Abstract:

Aiming at the path planning for intelligent vehicle in complex environment, local minimum problem is solved by the way of setting a virtual barrier point. And fuzzy controller is designed to make up some inherent shortcomings of artificial potential field method and safeguards the reliability of the path planning and path smoothness.

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Periodical:

Applied Mechanics and Materials (Volume 742)

Pages:

349-354

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.742.349

Citation:

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Online since:

March 2015

Authors:

Zhou Pan*, Jia Qi Li, Kai Min Hu, Hao Zhu

Keywords:

Artificial Potential Field Method, Fuzzy Logic, Intelligent Vehicle, Path Planning

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* - Corresponding Author

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