Artificial Potential Field path planning algorithm

Versione 1.0.0 (2,19 KB) da 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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Aggiornato 18 mar 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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Creato con R2021b

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APF_example.m

Versione	Pubblicato	Note della release
1.0.0	18 mar 2023		Scarica

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} }