RoboCar: A Rapidly Deployable Open-Source Platform for Autonomous Driving Research
Not on the map. Why?
Abstract (arXiv)
This paper 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 (ADS), utilizing the 2018 KIA 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 paper 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 https://github.com/sntubix/robocar and is released under an open-source MIT license.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 6 May 2024.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2024: 1; 2025: 3; 2026: 2.
6 papers.
- 2024LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trendscited by 10
- 2025SUMO-MCP: Leveraging the Model Context Protocol for Autonomous Traffic Simulation and Optimizationcited by 3
- 2025TrafficSimAgent: A Hierarchical Agent Framework for Autonomous Traffic Simulation with MCP Controlcited by 3
- 2025Leveraging V2X for Collaborative HD Maps Construction Using Scene Graph Generationcited by 0
- 2026Bandwidth-adaptive Cloud-Assisted 360-Degree 3D Perception for Autonomous Vehiclescited by 0
- 2026nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Truckscited by 0
- 2026nuTruck: Benchmarking Autonomous Driving Planning for Distributed Electric-drive Trucks15 Jul 2026
- 2026Bandwidth-adaptive Cloud-Assisted 360-Degree 3D Perception for Autonomous Vehicles27 Feb 2026
- 2025TrafficSimAgent: A Hierarchical Agent Framework for Autonomous Traffic Simulation with MCP Control24 Dec 2025
- 2025SUMO-MCP: Leveraging the Model Context Protocol for Autonomous Traffic Simulation and Optimization4 Jun 2025
- 2025Leveraging V2X for Collaborative HD Maps Construction Using Scene Graph Generation14 Feb 2025
- 2024LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trends20 Oct 2024