AI RESEARCH
ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving
arXiv CS.CV
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ArXi:2508.13977v3 Announce Type: replace Depth estimation is a fundamental component of spatial perception for autonomous driving and other unmanned systems operating in open urban environments. Existing depth datasets such as KITTI, nuScenes, and DDAD have advanced the field but are limited in diversity and scalability, and benchmark performance on them is approaching saturation.