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.
Original language | English (US) |
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Title of host publication | DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021 |
Publisher | Association for Computing Machinery, Inc |
Pages | 6-11 |
Number of pages | 6 |
ISBN (Electronic) | 9781450384452 |
DOIs | |
State | Published - May 18 2021 |
Event | 1st ACM Workshop on Data-Driven and Intelligent Cyber-Physical Systems, DICPS 2021 - Part of CPS-IoT Week 2021 - Virtual, Online, United States Duration: May 18 2021 → … |
Publication series
Name | DICPS 2021 - Proceedings of the ACM 1st Workshop on Data-Driven and Intelligent Cyber-Physical Systems, Part of CPS-IoT Week 2021 |
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Conference
Conference | 1st ACM Workshop on Data-Driven and Intelligent Cyber-Physical Systems, DICPS 2021 - Part of CPS-IoT Week 2021 |
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Country/Territory | United States |
City | Virtual, Online |
Period | 5/18/21 → … |
Bibliographical note
Funding Information:This work is supported by the Minnesota Department of Transportation under contract No. 1036210.
Publisher Copyright:
© 2021 ACM.
Keywords
- Urban sensing
- transportation data analysis
- video as a sensor