RoboCar: A Rapidly Deployable Open Source Platform for Autonomous Driving Research

This article introduces RoboCar, an open source research platform for autonomous driving developed at the University of Luxembourg. RoboCar provides a modular cost-effective framework for the development of experimental autonomous driving systems (ADSs), utilizing the 2018 c Soul EV. The platform integrates a robust hardware and software architecture that aligns with the vehicle’s existing systems, minimizing the need for extensive modifications. It supports various autonomous driving functions and has undergone real-world testing on public roads in Luxembourg City. This article outlines the platform’s architecture, integration challenges, and initial test results, offering insights into its application in advancing autonomous driving research. RoboCar is available to anyone at <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/sntubix/robocar</uri> and is released under an open source MIT license.

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Publication Details

Journal
IEEE Intelligent Transportation Systems Magazine
Published
2025-03-13
DOI
https://doi.org/10.1109/mits.2025.3546755
Citations
4
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
5.10
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article

RoboCar: A Rapidly Deployable Open Source Platform for Autonomous Driving Research

Raphaël Frank, Mehdi Testouri, Gamal Elghazaly
4 citations
IEEE Intelligent Transportation Systems Magazine
Robotic Path Planning Algorithms
5.10
article

RoboCar: A Rapidly Deployable Open Source Platform for Autonomous Driving Research

Raphaël Frank, Mehdi Testouri, Gamal Elghazaly
article en
4 citations

Abstract

This article introduces RoboCar, an open source research platform for autonomous driving developed at the University of Luxembourg. RoboCar provides a modular cost-effective framework for the development of experimental autonomous driving systems (ADSs), utilizing the 2018 c Soul EV. The platform integrates a robust hardware and software architecture that aligns with the vehicle’s existing systems, minimizing the need for extensive modifications. It supports various autonomous driving functions and has undergone real-world testing on public roads in Luxembourg City. This article outlines the platform’s architecture, integration challenges, and initial test results, offering insights into its application in advancing autonomous driving research. RoboCar is available to anyone at <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/sntubix/robocar</uri> and is released under an open source MIT license.

IEEE Intelligent Transportation Systems MagazineVol. 17(4)
University of Luxembourg (LU)
Openalex Percentile: Top 5%
Robotic Path Planning Algorithms
5.10
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