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English(EN) Multi-View In-Cabin Monitoring System for Public Transport Vehicles

新数据集捕捉公共交通内部的多视角传感器数据

研究人员开发了一个新的多视角数据集,用于监控公共交通车辆的内部。该数据集包括同步的RGB和深度图像,以及LiDAR扫描,以捕捉有关车辆内部及其乘员的详细信息。该项目还提供了校准和伪标签工具,能够生成3D人体姿态估计和边界框,并对现有的3D检测模型进行基准测试。 AI

影响 为开发车内监控系统提供了一个新的数据集和基准,有可能提高公共交通的安全性和自动化水平。

排序理由 这是一篇描述新数据集及相关计算机视觉应用工具的研究论文。

在 arXiv cs.AI 阅读 →

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新数据集捕捉公共交通内部的多视角传感器数据

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这是一篇描述新数据集及相关计算机视觉应用工具的研究论文。
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报道来源 [2]

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

    公交车车内多视角监控系统

    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 ·

    公共交通车辆多视角车内监控系统

    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.…