Cyber-Physical Mobility Lab: An Open-Source Platform for Networked and Autonomous Vehicles
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Abstract (arXiv)
This paper introduces our Cyber-Physical Mobility Lab (CPM Lab). It is an open-source development environment for networked and autonomous vehicles with focus on networked decision-making, trajectory planning, and control. The CPM Lab hosts 20 physical model-scale vehicles (μCars) which we can seamlessly extend by unlimited simulated vehicles. The code and construction plans are publicly available to enable rebuilding the CPM Lab. Our four-layered architecture enables the seamless use of the same software in simulations and in experiments without any further adaptions. A Data Distribution Service (DDS) based middleware allows adapting the number of vehicles during experiments in a seamless manner. The middleware is also responsible for synchronizing all entities following a logical execution time approach to achieve determinism and reproducibility of experiments. This approach makes the CPM Lab a unique platform for rapid functional prototyping of networked decision-making algorithms. The CPM Lab allows researchers as well as students from different disciplines to see their ideas developing into reality. We demonstrate its capabilities using two example experiments. We are working on a remote access to the CPM Lab via a webinterface.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 21 Apr 2020.
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Citing papers per year: 2024: 4; 2025: 1.
5 papers.
- 2024Autonomous Driving Small-Scale Cars: A Survey of Recent Developmentcited by 6
- 2024Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehiclescited by 3
- 2024SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planningcited by 3
- 2024Design and Realization of a Benchmarking Testbed for Evaluating Autonomous Platooning Algorithmscited by 1
- 2025Simultaneous Computation with Multiple Prioritizations in Multi-Agent Motion Planningcited by 0
- 2025Simultaneous Computation with Multiple Prioritizations in Multi-Agent Motion Planning18 Jan 2025
- 2024SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning14 Aug 2024
- 2024Autonomous Driving Small-Scale Cars: A Survey of Recent Development9 Apr 2024
- 2024Design and Realization of a Benchmarking Testbed for Evaluating Autonomous Platooning Algorithms14 Feb 2024
- 2024Investigating Driving Interactions: A Robust Multi-Agent Simulation Framework for Autonomous Vehicles7 Feb 2024