NeuRAD: Neural Rendering for Autonomous Driving

arXiv:2311.15260v3 Announce Type: replace
Abstract: Neural radiance fields (NeRFs) have gained popularity in the autonomous driving (AD) community. Recent methods show NeRFs' potential for closed-loop simulation, enabling testing of AD systems, and as an advanced training data augmentation technique. However, existing methods often require long training times, dense semantic supervision, or lack generalizability. This, in turn, hinders the application of NeRFs for AD at scale. In this paper, we propose NeuRAD, a robust novel view synthesis method tailored to dynamic …

arxiv autonomous autonomous driving cs.cv driving neural rendering rendering type