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# Multi-View In-Cabin Dataset

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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. 


### Dataset Sources

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- **Repository:** [https://github.com/EvgenyGorelik/multiview_incabin_dataset](https://github.com/EvgenyGorelik/multiview_incabin_dataset)
- **Paper:** [https://arxiv.org/abs/2606.11739](https://arxiv.org/abs/2606.11739)