Abstract

Autonomous vehicles need a complete and robust perception of their environment to correctly understand the surrounding traffic scene and come to the right decisions. Making use of vehicle-to-vehicle (V2V) communication can improve the perception capabilities of autonomous vehicles by extending the range of their own local sensors. For the development of robust cooperative perception systems it is necessary to include varying environmental conditions to the scenarios used for validation. In this paper we present a new approach to investigate a cooperative perception pipeline within simulation under varying rain conditions. We demonstrate our approach on the example of a complete vision-based cooperative perception pipeline. Scenarios with a varying number of cooperative vehicles under different synthetically generated rain variations are used to show the influence of rain on local and cooperative perception.