Researchers have developed a new multi-view dataset for monitoring the interiors of public transport vehicles. This dataset includes synchronized RGB and depth images, along with LiDAR scans, to capture detailed information about the vehicle's interior and its occupants. The project also provides tools for calibration and pseudo-labeling, enabling the generation of 3D human pose estimates and bounding boxes, and benchmarks existing 3D detection models. AI
IMPACT Provides a new dataset and benchmarks for developing in-cabin monitoring systems, potentially improving safety and automation in public transport.
RANK_REASON This is a research paper describing a new dataset and associated tools for computer vision applications.
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