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PMSS Project Details


Project ID:FHWA-PROJ-10-0078
Project Name: Stereo Pedestrian – A New Robust Multiple Pedestrian Detection and Tracking System, Phase III: Field Test
Status: Completed
Last Name:Gibson
First Name:David P
Office: Office of Operations Research and Development
Team:Trans Enabling Technologies Team
Project Description:Traffic sensors for detection of pedestrians in crosswalks have not been sufficiently robust. Either false positives indicating the presence of pedestrians when none are there or false negatives indicating the absence of pedestrians when pedestrians are present are an issue with all technologies. This project will extend the capabilities of vision-based pedestrian sensors by adding a stereo vision component. A modification is pending that will add an additional $500,000 for additional field testing. The project will verify whether stereo vision performs better than monocular vision, identify critical gaps regarding the collection and processing of stereo vision data and what hardware changes or algorithms might be used to enhance stereo pedestrian detection techniques, and advance laboratory and field tests of improved hardware and algorithms as well as field operational tests.NOTE: This falls under the spreadsheet subcategory of:Develop improved sensors and sensing technologies to support transportation applications and performance measures.
Start Date: March 16, 2010
End Date: June 15, 2012
Goals:The project is focused on field testing a stereo sensor for the detection of pedestrians.
Test Methodology: Conducted field laboratory data collection.
Partners: U.S. Department of Transportation: Research and Innovative Technology Administration (RITA); Role(s): Other stakeholder
Expected Benefits:Improved pedestrian detection will allow improved operation and safety of traffic control systems by considering the impacts of pedestrian movements on vehicular traffic and those of vehicular traffic on pedestrian movements and safety.
Project Findings:Established the practicality of , in the real world, using a stereo imaging sensor to reliably detect pedestrians.
Keywords: Stereoscopic Models
Pedestrian Detectors
Data Collection
Subject Areas: Operations and Traffic Management