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New dataset captures public transport interiors with multi-view sensors

By PulseAugur Editorial · [2 sources] ·

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.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New dataset captures public transport interiors with multi-view sensors

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Evgeny Gorelik, Kenny Dean Karrow, Fikret Sivrikaya, Sahin Albayrak, Christian Baumann ·

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

    arXiv:2606.11739v1 Announce Type: cross Abstract: 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 …

  2. arXiv cs.CV TIER_1 English(EN) · Christian Baumann ·

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

    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.…

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