Monitoring and Predicting Pedestrian Behavior at Traffic Intersections

Navarro-Serment, Luis E.; Carnegie-Mellon University. Robotics Institute

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Monitoring and Predicting Pedestrian Behavior at Traffic Intersections

2016-10-14
By Navarro-Serment, Luis E.

[PDF-1.22 MB]

English

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Details:

Alternative Title:

# 65 MONITORING AND PREDICTING PEDESTRIAN BEHAVIOR AT TRAFFIC INTERSECTIONS
Creators:

Navarro-Serment, Luis E.
Corporate Creators:

Carnegie-Mellon University. Robotics Institute
Contributors:

Beisy Cruz, Ana ; Do, Youngwook ; Dutta, Praneet ; Manikavasegam, Venkatesh ; Reddy Guduru, Meghana

Beisy Cruz, Ana ; Do, Youngwook ; Dutta, Praneet ; Manikavasegam, Venkatesh ; Reddy Guduru, Meghana Less -
Corporate Contributors:

Rapid Flow Technologies ; University Transportation Centers Program (U.S.)

Rapid Flow Technologies ; University Transportation Centers Program (U.S.) Less -
Subject/TRT Terms:

[+]

Behavior Calibration Cameras Data Collection Detection And Identification Forecasting I72: Traffic And Transport Planning Intersections Machine Vision Monitoring Operations And Traffic Management Pedestrian Areas Pedestrian Movement Pedestrian Safety Planning And Forecasting Real Time Control Safety And Human Factors Scanners Traffic Signal Control Systems Traffic Surveillance Video Cameras
Resource Type:

Tech Report
Geographical Coverage:

United States ; Pennsylvania

United States ; Pennsylvania Less -
Corporate Publisher:

Carnegie-Mellon University ; University of Pennsylvania

Carnegie-Mellon University ; University of Pennsylvania Less -
Abstract:

Most traffic intersections lack awareness of pedestrian traffic: their perception abilities—when available—are usually limited to the detection of vehicles at very specific places. Video cameras can be used to monitor pedestrian traffic in a setting where a static camera that has an unobstructed view of the road is used to detect and track pedestrians. This study intends to reduce the time and amount of effort needed to calibrate and set up a video camera at any location. In this work we focused on developing an approach to calibrate traffic cameras that simplifies the extrinsic calibration work on-site using a low-cost custom-made laser scanner, and that requires minimal personnel training.
Content Notes:

Date of publication supplied in an email from the author, Dr. Navarro-Serment, 8/28/2018
Format:

PDF
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:eb1e45cdf092d2cdb86a4173152fbd2d4a181281054b33a9f9c4bec34e7a2250
Download URL:

https://rosap.ntl.bts.gov/view/dot/36753/dot_36753_DS1.pdf
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Monitoring and Predicting Pedestrian Behavior at Traffic Intersections

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