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Journal Article

Parallel evolutionary artificial potential field for path planning—an implementation on GPU

Studies in Computational Intelligence (2015) 601 319-332
DOI: 10.1007/978-3-319-17747-2_25
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Abstract

This work presents the implementation of the Parallel Evolutionary Artificial Potential Field (PEAPF) on a Graphics Processing Unit (GPU) as an improvement to speed up the path planning computation in mobile robot navigation. Simulation results to validate the analysis and implementation are provided; they were specifically made to show the effectiveness and the efficiency of the proposal.

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APA

Orozco-Rosas, U., Montiel, O., & Sepúlveda, R. (2015). Parallel evolutionary artificial potential field for path planning—an implementation on GPU. Studies in Computational Intelligence, 601, 319–332. https://doi.org/10.1007/978-3-319-17747-2_25

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