Artificial Potential Field path planning algorithm

版本 1.0.0 (2.2 KB) 作者: Rafal Szczepanski

A simple example of an Artificial Potential Field algorithm for autonomous operation in an unknown environment.

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更新时间 2023/3/18

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Implementation of the Artificial Potential Fields algorithm in Matlab. Simple example with two obstacles, limited autonomous vehicle dynamics. For more information please refer to the following paper:

Szczepanski, R., Tarczewski, T., & Erwinski, K. (2022). Energy efficient local path planning algorithm based on predictive artificial potential field. IEEE Access, 10, 39729-39742.

引用格式

Szczepanski, Rafal, et al. “Energy Efficient Local Path Planning Algorithm Based on Predictive Artificial Potential Field.” IEEE Access, vol. 10, Institute of Electrical and Electronics Engineers (IEEE), 2022, pp. 39729–42, doi:10.1109/access.2022.3166632.

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创建方式 R2021b

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APF_example.m

版本	已发布	发行说明
1.0.0	2023/3/18		下载

MLA	Szczepanski, Rafal, et al. “Energy Efficient Local Path Planning Algorithm Based on Predictive Artificial Potential Field.” IEEE Access, vol. 10, Institute of Electrical and Electronics Engineers (IEEE), 2022, pp. 39729–42, doi:10.1109/access.2022.3166632.
APA	Szczepanski, R., Tarczewski, T., & Erwinski, K. (2022). Energy Efficient Local Path Planning Algorithm Based on Predictive Artificial Potential Field. IEEE Access, 10, 39729–39742. Institute of Electrical and Electronics Engineers (IEEE). Retrieved from https://doi.org/10.1109%2Faccess.2022.3166632
BibTeX	@article{Szczepanski_2022, doi = {10.1109/access.2022.3166632}, url = {https://doi.org/10.1109%2Faccess.2022.3166632}, year = 2022, publisher = {Institute of Electrical and Electronics Engineers ({IEEE})}, volume = {10}, pages = {39729--39742}, author = {Rafal Szczepanski and Tomasz Tarczewski and Krystian Erwinski}, title = {Energy Efficient Local Path Planning Algorithm Based on Predictive Artificial Potential Field}, journal = {{IEEE} Access} }