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Stereo Pedestrian – A New Robust Multiple Pedestrian Detection and Tracking System, Phase III: Field Test

Project Information

Project ID: 
Project Status: 
Start Date: 
Tuesday, March 16, 2010
End Date: 
Friday, June 15, 2012
FHWA Program: 
Small Business Innovation Research
FHWA Topics: 
Research/Technologies--FHWA Research and Technology
TRT Terms: 
Stereoscopic Models; Pedestrian Detectors; Operations; Safety; Research; Data Collection
FHWA Discipline: 
Operations, Safety
TRB Subject Area: 
Operations and Traffic Management

Contact Information

First Name: 
Last Name: 
(202) 493-3199
Email Address: 
Transportation Enabling Technologies Team
Office of Operations Research and Development
Office Code: 

Project Details

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."


The project is focused on field testing a stereo sensor for the detection of pedestrians.

Partners and Other Sponsor/Managing/Performing Organizations: 
Project Findings: 

Established the practicality of using a stereo imaging sensor in the real world to reliably detect pedestrians.