The CAT Vehicle Testbed: A Simulator with Hardware in the Loop for Autonomous Vehicle Applications
Rahul Kumar Bhadani (The University of Arizona), Jonathan Sprinkle, (The University of Arizona), Matthew Bunting (The University of Arizona)

TL;DR
The paper introduces the CAT Vehicle Testbed, a simulation platform with hardware-in-the-loop capabilities for testing autonomous vehicle algorithms, enabling rapid validation and transition from simulation to real-world testing.
Contribution
It presents a versatile simulation environment that seamlessly integrates with physical hardware, supporting multi-vehicle scenarios and real-time data logging for autonomous vehicle research.
Findings
Successful demonstration with the CAT Vehicle Challenge
Rapid transition from simulation to hardware in less than 2 days
Supports multi-vehicle interaction and real-time data analysis
Abstract
This paper presents the CAT Vehicle (Cognitive and Autonomous Test Vehicle) Testbed: a research testbed comprised of a distributed simulation-based autonomous vehicle, with straightforward transition to hardware in the loop testing and execution, to support research in autonomous driving technology. The evolution of autonomous driving technology from active safety features and advanced driving assistance systems to full sensor-guided autonomous driving requires testing of every possible scenario. However, researchers who want to demonstrate new results on a physical platform face difficult challenges, if they do not have access to a robotic platform in their own labs. Thus, there is a need for a research testbed where simulation-based results can be rapidly validated through hardware in the loop simulation, in order to test the software on board the physical platform. The CAT Vehicle…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
