3DGS-Calib: 3D Gaussian Splatting for Multimodal SpatioTemporal Calibration

arXiv:2403.11577v1 Announce Type: new
Abstract: Reliable multimodal sensor fusion algorithms re- quire accurate spatiotemporal calibration. Recently, targetless calibration techniques based on implicit neural representations have proven to provide precise and robust results. Nevertheless, such methods are inherently slow to train given the high compu- tational overhead caused by the large number of sampled points required for volume rendering. With the recent introduction of 3D Gaussian Splatting as a faster alternative to implicit representation methods, we propose to leverage this new …

abstract algorithms arxiv cs.cv cs.ro fusion implicit neural representations multimodal results robust sensor train type