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Multi-View In-Cabin Monitoring System for Public Transport Vehicles

arXiv 2606.11739 ↗First posted 10 Jun 2026cs.CV cs.AIcited by 0

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Abstract (arXiv)

We introduce a multi-view in-cabin monitoring dataset for public transportation with synchronized RGB and depth images from four inward-facing cameras and a rotating LiDAR covering the vehicle interior of a digitalized and partly automated German city bus. The dataset contains 9.136 synchronized samples with annotations and is accompanied by a calibration and pseudo-labeling pipeline that generates 3D human pose estimates and oriented 3D bounding boxes for occupants. We further provide a nuScenes-format conversion and benchmark representative multi-view 3D detection models (e.g., Lift-Splat-Shoot and BEVFusion), supporting comparative evaluation and small-scale training of multi-view in-cabin perception models. The dataset and tools are available at https://github.com/EvgenyGorelik/multiview_incabin_dataset.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 27 of its 51 references that are in the map. First posted on arXiv 10 Jun 2026.

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References · 27

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15 more
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