Scalable Remote Operation for Autonomous Vehicles: Integration of Cooperative Perception and Open Source Communication

Martin Gontscharow, Jens Doll, Albert Schotschneider, Daniel Bogdoll, Stefan Orf, Johannes Jestram, Marc René Zofka, J. Marius Zöllner

Abstract: As autonomous vehicles become increasingly preva-lent, robust remote operation systems are imperative to ensure safety and reliability in unpredictable scenarios. Current remote operation systems in research often lack scalability and adaptability, hindering their integration into diverse autonomous driving platforms. This paper addresses these challenges by introducing a scalable remote operation system that leverages cooperative perception and an open-source communication module. Field tests conducted with an SAE Level 3 autonomous shuttle have validated the effectiveness of our system in real-world scenarios. The code for a key component of this system, the communication module, is available online1.