Promoting Workforce Development Using CAVe-in-a-Box and Computer Vision Based Vulnerable Road User Detection

被引：0

作者：

Bonthu, Sai ^{[1
]}

Gopalakrishna, Vaishak ^{[1
]}

Martin, William ^{[2
,3
]}

Balse, Animesh ^{[2
,3
]}

Schlueter, Mary

Granger, Rich ^{[4
]}

Gaskins, Whitney ^{[5
]}

Hunt, Victor ^{[1
]}

Helmicki, Arthur ^{[1
]}

机构：

[1] Univ Cincinnati, Dept Elect & Comp Engn, Cincinnati, OH 45221 USA

[2] Leidos, Reston, VA USA

[3] Leidos, Turner Fairbank Highway Res, Transportat Res, Mclean, VA USA

[4] DriveOhio, Workforce & Econ Dev, Ohio Dept Transportat, Columbus, OH USA

[5] Univ Cincinnati, Coll Engn & Appl Sci, Cincinnati, OH USA

来源：

INTERNATIONAL CONFERENCE ON TRANSPORTATION AND DEVELOPMENT 2024: TRANSPORTATION PLANNING, OPERATIONS, AND TRANSIT, ICTD 2024 | 2024年

关键词：

D O I：

暂无

中图分类号：

U [交通运输];

学科分类号：

08 ; 0823 ;

摘要：

This paper presents lessons learned through intensive workforce development projects with the USDOT ITSJPO PCB initiative connected and automated vehicle education (CAVe). With the support of Ohio Department of Transportation (ODOT) and DriveOhio Student Transportation Advancement Research (STAR) program, the University of Cincinnati Infrastructure Institute (UCII) team has assembled CAVe-in-a-Box and CAVe-Lite Infrastructure and Mobile kits. In this project, CAVe-in-a-Box assembly integrated with latest computer vision based detection technology has been utilized as a demonstration tool to showcase real-world benefits such as the vulnerable road user (VRU) safety at intersections. Furthermore, CAVe-Lite module has been utilized to actively engage 5-12 grade students in a scaled, hands-on desktop level smart mobility technology deployment.

引用

页码：463 / 472

页数：10

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