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TriSAR-3D and PaintFusion: A Novel Trimodal LiDAR-RGB-Thermal Dataset and Method for 3D Person Detection in Search and Rescue
Markus Kramer, Author 2, Author 3, Author 4, Author 5
multimodal3D detectionsearch and rescuedataset
2610.22509
Builder Relevance
1h ago80%
Abstract
This paper introduces a novel dataset and method for improving 3D person detection in search and rescue scenarios using multimodal data.
Reality Card
Core Claim
The proposed PaintFusion method achieves a 65.4 AP@50 in 3D person detection, outperforming existing baselines while being faster.
Method / Result
Achieved 65.4 AP@50 with a per-frame latency of 51.6 ms.
Limitations
The performance significantly drops when training data lacks diversity, particularly for lying poses.
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