A reliability-prediction network and gated fusion method are used to filter glare-corrupted depth data before it enters robot navigation costmaps, demonstrated on a RealSense-equipped mobile platform.
3DRef: 3D dataset and benchmark for reflection detection in RGB and LiDAR data
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Reliability modeling of depth measurements enables glare-resilient occupancy grid costmaps for mobile robots.
citing papers explorer
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Reliability-Guided Depth Fusion for Glare-Resilient Navigation Costmaps
A reliability-prediction network and gated fusion method are used to filter glare-corrupted depth data before it enters robot navigation costmaps, demonstrated on a RealSense-equipped mobile platform.
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Reliability-Guided Depth Fusion for Glare-Resilient Navigation Costmaps
Reliability modeling of depth measurements enables glare-resilient occupancy grid costmaps for mobile robots.