Localization Challenges in Autonomous Motorsport

Precise position tracking is crucial for autonomous vehicle development. Technological innovations offer more accurate sensors, but the ideal combination is still debated. This study, inspired by a motorsport project, analyzes errors in simpler positioning solutions, examining environmental interference and dynamic movement impacts. It discusses real-world testing challenges and explores improving precision through sensor combinations. Using high-accuracy GPS and accelerometers with LIDAR, radar, or cameras enhances navigation, especially in complex environments. The study emphasizes that the future of autonomous vehicle localization depends on technological advancements, sensor integration, and intelligent algorithms.

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Publication Details

Published
2024-11-12
DOI
https://doi.org/10.3390/engproc2024079088
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
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article

Localization Challenges in Autonomous Motorsport

Máté Fazekas, Balázs Kail, Zsombor Papp
Robotics and Sensor-Based Localization
article

Localization Challenges in Autonomous Motorsport

Máté Fazekas, Balázs Kail, Zsombor Papp
article en

Abstract

Precise position tracking is crucial for autonomous vehicle development. Technological innovations offer more accurate sensors, but the ideal combination is still debated. This study, inspired by a motorsport project, analyzes errors in simpler positioning solutions, examining environmental interference and dynamic movement impacts. It discusses real-world testing challenges and explores improving precision through sensor combinations. Using high-accuracy GPS and accelerometers with LIDAR, radar, or cameras enhances navigation, especially in complex environments. The study emphasizes that the future of autonomous vehicle localization depends on technological advancements, sensor integration, and intelligent algorithms.

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Robotics and Sensor-Based Localization
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Localization Challenges in Autonomous Motorsport — Máté Fazekas, Balázs Kail, et al. · (2024) | TGRS Research Map | TGRS