Alexander Zuber

A Multi-Modal Benchmark for Long-Range Depth Evaluation in Adverse Weather Conditions

Depth estimation is a cornerstone computer vision application that is critical for scene understanding and autonomous driving. In real-world scenarios, achieving reliable depth perception under adverse weather—e.g. in fog and rain—is crucial to ensure safety and system robustness. However, quantitat