Enhancing Law Enforcement Safety Through Multimodal Distraction Detection and Intuitive HMI

Center for Connected and Automated Transportation/Research/Research from the University of Michigan/Enhancing Law Enforcement Safety Through Multimodal Distraction Detection and Intuitive HMI

Enhancing Law Enforcement Safety Through Multimodal Distraction Detection and Intuitive HMI

In Progress
Headshot of Shan Bao. The link directs to their profile page on the CCAT website.
Shan Bao
Headshot of Henry Liu. The link directs to their profile page on the CCAT website
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The University of Michigan-Dearborn Logo. The link directs to the funded research led by this institution.
The University of Michigan Transportation Research Institute Logo. The link directs to the funded research led by this institution.

Principal Investigator(s):

Shan Bao, Associate Research Scientist – The University of Michigan Transportation Research Institute
Associate Professor of Industrial and Manufacturing Systems Engineering – University of Michigan-Dearborn
Walter Lasecki, Assistant Professor of Computer Science and Engineering – The University of Michigan
Huizhong Guo

Project Abstract:
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Institution(s): University of Michigan – Dearborn
University of Michigan Transportation Research Institute

Award Year: 2026

Research Focus: Safety, Cybersecurity, Mobility, Accessibility

Project Form(s):

Project Information Form (Calvin will provide link once he receives page URL. Link should open in new tab)
Data Management Plan (Calvin will provide link once he receives page URL. Link should open in new tab)

Last updated: