AIDE: An Automatic Data Engine for Object Detection in Autonomous Driving

arXiv:2403.17373v1 Announce Type: cross
Abstract: Autonomous vehicle (AV) systems rely on robust perception models as a cornerstone of safety assurance. However, objects encountered on the road exhibit a long-tailed distribution, with rare or unseen categories posing challenges to a deployed perception model. This necessitates an expensive process of continuously curating and annotating data with significant human effort. We propose to leverage recent advances in vision-language and large language models to design an Automatic Data Engine (AIDE) that automatically identifies issues, …

abstract arxiv autonomous autonomous driving autonomous vehicle challenges cs.ai cs.cv cs.lg data data engine detection distribution driving however object objects perception process robust safety systems type