Leveraging video data to better understand driver-pedestrian interactions in a smart city environment

Tianyi Li, J. Cullom, Raphael E. Stern
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Abstract

New data sources such as video promise to provide insights into how humans navigate urban infrastructure and enable analysis of human-in-the-loop interactions. This work considers the deployment of portable video data collection units to understand human-driver interactions at unsignalized intersections. Specifically, we present preliminary data collection and results that highlight the value of video data in capturing the nuanced interactions of pedestrians with vehicles when navigating urban streets.
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利用视频数据更好地理解智能城市环境中驾驶员与行人的互动
视频等新数据源有望提供有关人类如何驾驭城市基础设施的见解,并使人在环路中的互动分析成为可能。这项工作考虑了便携式视频数据采集单元的部署,以了解人与驾驶员在无信号交叉路口的互动。具体来说,我们展示了初步的数据收集和结果,强调了视频数据在捕捉城市街道上行人与车辆之间细微互动的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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