在公共交通工具上使用立体声深度摄像头和乘客姿势估计的社会距离近似计算
Daniel Steven Bell1, Philip James1, Martín López-García2
1School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK.
Sensors (Basel, Switzerland)
|December 23, 2023
概括
在公共交通工具上保持社交距离是具有挑战性的,不太可能超过28%的占用率. 乘客对舒适和景色的偏好往往超过保持距离,影响感染控制策略.
科学领域:
- 公共卫生 公共卫生
- 运输工程 运输工程
- 计算机视觉 计算机视觉
背景情况:
- 流行病需要平衡公共交通运营与感染控制.
- 了解乘客行为和环境条件对于安全至关重要.
- 在公共交通中保持社会距离的有效性需要进行定量分析.
研究的目的:
- 评估公共交通工具上社会距离的可行性.
- 分析与社会距离相关的乘客行为和座位偏好.
- 评估计算机视觉对监控社会距离的有用性.
主要方法:
- 在公共汽车上部署一个低成本的深度传感系统.
- 使用先进的计算机视觉技术来测量社会距离.
- 根据获得的数据,分析乘客的习惯和座位偏好.
主要成果:
- 社会距离不太可能超过28%的公共汽车占用门.
- 高概率 (89%) 在28%的乘客占用率下,距离另一个乘客不到1-2米.
- 乘客偏好优先考虑舒适和观点,而不是最大限度地保持社会距离.
结论:
- 目前的公共交通设计和乘客行为限制了有效的社交距离.
- 计算机视觉为监控环境条件和乘客行为提供了强大的方法.
- 调查结果为在卫生危机期间更安全的公共交通运营策略提供了信息.
关键词:
量化微生物风险评估 (QMRA) 是指对微生物进行量化风险评估.拉斯伯雷皮皮 (Raspberry Pi) 是一个非常简单的工具.对于COVID知识的运输风险评估 (TRACK)计算机视觉 计算机视觉构成估计估计的估计.公共交通工具公共交通工具保持社会距离,保持社会距离.立体摄像机的立体摄像机.更多相关视频
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