Lateral control for autonomous vehicles: A comparative evaluation

The selection of an appropriate control strategy is essential for ensuring safe operation in autonomous driving. While numerous control strategies have been developed for specific driving scenarios, a comprehensive comparative assessment of their performance using the same tuning methodology is lack...

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Bibliographic Details
Published inAnnual reviews in control Vol. 57; p. 100910
Main Authors Artuñedo, Antonio, Moreno-Gonzalez, Marcos, Villagra, Jorge
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 2024
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Summary:The selection of an appropriate control strategy is essential for ensuring safe operation in autonomous driving. While numerous control strategies have been developed for specific driving scenarios, a comprehensive comparative assessment of their performance using the same tuning methodology is lacking in the literature. This paper addresses this gap by presenting a systematic evaluation of state-of-the-art model-free and model-based control strategies. The objective is to evaluate and contrast the performance of these controllers across a wide range of driving scenarios, reflecting the diverse needs of autonomous vehicles. To facilitate the comparative analysis, a comprehensive set of performance metrics is selected, encompassing accuracy, robustness, and comfort. The contributions of this research include the design of a systematic tuning methodology, the use of two novel metrics for stability and comfort comparisons and the evaluation through extensive simulations and real tests in an experimental instrumented vehicle over a wide range of trajectories.
ISSN:1367-5788
DOI:10.1016/j.arcontrol.2023.100910