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Research questionHow can self-supervised surround-view depth estimation remain geometrically consistent when camera views minimally overlap?In surround-camera systems, most pixels lack strong multi-view correspondence and must be interpreted from monocular cues. Different camera intrinsics and limited per-image context can therefore produce inconsistent depth estimates across adjacent views.
Computer Vision
Image & Video Processing
Machine Learning
Robotics
Latest papersRecent research connected to this question, newest first.CrossDepth: Geometry-Constrained Attention for Generalizable Multi-View Surround Depth EstimationThe source addresses autonomous-driving surround-view depth estimation using calibrated camera rigs and photometric self-supervision, with evidence from DDAD and nuScenes under in-domain and cross-domain evaluation.research paper · Sep 4, 2026
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