SOAC: Spatio-Temporal Overlap-Aware Multi-Sensor Calibration using Neural Radiance Fields

arXiv:2311.15803v3 Announce Type: replace
Abstract: In rapidly-evolving domains such as autonomous driving, the use of multiple sensors with different modalities is crucial to ensure high operational precision and stability. To correctly exploit the provided information by each sensor in a single common frame, it is essential for these sensors to be accurately calibrated. In this paper, we leverage the ability of Neural Radiance Fields (NeRF) to represent different sensors modalities in a common volumetric representation to achieve robust and accurate …

abstract arxiv autonomous autonomous driving cs.cv cs.ro domains driving exploit fields information multiple neural radiance fields precision sensor sensors stability temporal type