Real-time and Secure Analysis of Pedestrian Data for Connected Vehicles

Apon, Amy; Chowdhury, Mashrur (Ronnie); Comert, Gurcan; Clemson University; Benedict College

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Real-time and Secure Analysis of Pedestrian Data for Connected Vehicles

2023-10-01
By Apon, Amy ; Chowdhury, Mashrur (Ronnie) ; Comert, Gurcan
Series: UTC Spotlight Newsletter

[PDF-1.16 MB]

English

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Details:

Creators:

Apon, Amy ; Chowdhury, Mashrur (Ronnie) ; Comert, Gurcan

Apon, Amy ; Chowdhury, Mashrur (Ronnie) ; Comert, Gurcan Less -
Corporate Creators:

Clemson University ; Benedict College

Clemson University ; Benedict College Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Cameras Connected Vehicles Data Analysis Data Collection Machine Learning Messages (Communications) Pedestrian Detectors Pedestrians Pedestrian Safety Signalized Intersections
Series:

UTC Spotlight Newsletter
Resource Type:

Brief
Right Statement:

Public Domain
Geographical Coverage:

United States
Edition:

UTC Spotlight, Quarterly Issue 4
Corporate Publisher:

United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Abstract:

According to the National Highway Traffic Safety Administration (NHTSA), pedestrian fatalities increased 75% from 2012 to 2021 in urban areas. A team consisting of researchers from Clemson University and Benedict College, consortium members of the Center for Connected Multimodal Mobility (C2M2) headquartered at Clemson University, developed a vision-based real-time pedestrian safety alert system that can help reduce the crash risks involving pedestrians and vehicles.
Format:

PDF
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha256:02b6ebf5709502f4128a12f5a314ca62a77ff9bac56cbd31475f6ff413004d55
Download URL:

https://rosap.ntl.bts.gov/view/dot/72433/dot_72433_DS1.pdf
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No Additional Files

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Real-time and Secure Analysis of Pedestrian Data for Connected Vehicles

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