arXiv cs.CV
· Papers
Boosting Robustness for All-Weather Self-Supervised Depth Estimation in Autonomous Driving
arXiv:2607.21526v1 Announce Type: new Abstract: Self-supervised depth estimation is challenging for safe autonomous driving under various adverse weather conditions due to sensor perception degradation. These challenges arise from two main aspects. Firstly, adverse conditions can distort pixel correspondences and viola