{"title":"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","authors":"Tianyi Li, J. Cullom, Raphael E. Stern","doi":"10.1145/3459609.3460524","DOIUrl":null,"url":null,"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.","PeriodicalId":157596,"journal":{"name":"Proceedings of the Workshop on Data-Driven and Intelligent Cyber-Physical Systems","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Leveraging video data to better understand driver-pedestrian interactions in a smart city environment\",\"authors\":\"Tianyi Li, J. Cullom, Raphael E. Stern\",\"doi\":\"10.1145/3459609.3460524\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":157596,\"journal\":{\"name\":\"Proceedings of the Workshop on Data-Driven and Intelligent Cyber-Physical Systems\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Workshop on Data-Driven and Intelligent Cyber-Physical Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3459609.3460524\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Workshop on Data-Driven and Intelligent Cyber-Physical Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3459609.3460524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Leveraging video data to better understand driver-pedestrian interactions in a smart city environment
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.