Collaborative Perception Datasets in Autonomous Driving: A Survey

arXiv:2404.14022v1 Announce Type: new
Abstract: This survey offers a comprehensive examination of collaborative perception datasets in the context of Vehicle-to-Infrastructure (V2I), Vehicle-to-Vehicle (V2V), and Vehicle-to-Everything (V2X). It highlights the latest developments in large-scale benchmarks that accelerate advancements in perception tasks for autonomous vehicles. The paper systematically analyzes a variety of datasets, comparing them based on aspects such as diversity, sensor setup, quality, public availability, and their applicability to downstream tasks. It also highlights the key challenges such as domain shift, …

abstract arxiv autonomous autonomous driving autonomous vehicles benchmarks collaborative context cs.cv cs.ro datasets driving everything highlights infrastructure paper perception scale survey tasks type vehicles