Artificial Potential Field path planning algorithm

Version 1.0.0 (2,19 ko) par Rafal Szczepanski

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

http://www.umk.pl/~szczepi

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Mise à jour 18 mars 2023

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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.

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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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Créé avec R2021b

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Version	Publié le	Notes de version
1.0.0	18 mars 2023		Télécharger

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} }

Artificial Potential Field path planning algorithm

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