The model-based algorithm for autonomous vehicle path following

This paper presents a proprietary steering algorithm for path following, whose advantage lies in its ability to be applied with vehicle dynamic models of varying complexity.The proposed algorithm was implemented using models with 3 and 10 degrees of freedom, which had been previously verified.The results were compared with those obtained using the geometric pure pursuit (PP) algorithm.Both algorithms require path approximation.In this study, path approximation was conducted using B3 functions.The presented computer simulation results indicate that the proposed steering angle selection algorithm demonstrates greater accuracy than the PP algorithm.

Authors

Publication Details

Journal
Journal of Theoretical and Applied Mechanics/Mechanika Teoretyczna i Stosowana
Published
2025-09-02
DOI
https://doi.org/10.15632/jtam-pl/208127
Primary Topic
Robotic Path Planning Algorithms
Type
article
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article

The model-based algorithm for autonomous vehicle path following

Michał Brzozowski
Journal of Theoretical and Applied Mechanics/Mechanika Teoretyczna i Stosowana
Robotic Path Planning Algorithms
article

The model-based algorithm for autonomous vehicle path following

Michał Brzozowski
article en

Abstract

This paper presents a proprietary steering algorithm for path following, whose advantage lies in its ability to be applied with vehicle dynamic models of varying complexity.The proposed algorithm was implemented using models with 3 and 10 degrees of freedom, which had been previously verified.The results were compared with those obtained using the geometric pure pursuit (PP) algorithm.Both algorithms require path approximation.In this study, path approximation was conducted using B3 functions.The presented computer simulation results indicate that the proposed steering angle selection algorithm demonstrates greater accuracy than the PP algorithm.

Journal of Theoretical and Applied Mechanics/Mechanika Teoretyczna i StosowanaVol. 63(4)
Openalex Percentile: Top 78%
Robotic Path Planning Algorithms
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