Guaranteed LiDAR-aided multi-object tracking at road intersections : USDOT Region V Regional University Transportation Center final report.

Tarko, Andrew P.; Ariyur, Kartik B.; Romero, Mario; Bandaru, Vamsi Krishna; Jimenez, Christian Lizarazo; NEXTRANS Center (U.S.)

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Guaranteed LiDAR-aided multi-object tracking at road intersections : USDOT Region V Regional University Transportation Center final report.

2016-12-21
By Tarko, Andrew P. ; Ariyur, Kartik B. ; Romero, Mario ; ...

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Creators:

Tarko, Andrew P. ; Ariyur, Kartik B. ; Romero, Mario ; Bandaru, Vamsi Krishna ; Jimenez, Christian Lizarazo

Tarko, Andrew P. ; Ariyur, Kartik B. ; Romero, Mario ; Bandaru, Vamsi Krishna ; Jimenez, Christian Lizarazo Less -
Corporate Creators:

NEXTRANS Center (U.S.)
Subject/TRT Terms:

[+]

Algorithms Data Collection Feasibility Analysis Intersections Lasers Performance Measurement Scanners Sensors Signal Processing User Interfaces (Computer Science)
Resource Type:

Tech Report
Geographical Coverage:

Indiana
Corporate Publisher:

NEXTRANS Center (U.S.)
Abstract:

The ability to accurately measure and cost-effectively collect traffic data at road intersections is needed to improve their safety and operations. This study investigates the feasibility of using laser ranging technology (LiDAR) for this purpose. The proposed technology does not experience some of the problems of the current video-based technology but less expensive lowend sensors have limited density of points where measurements are collected that may bring new challenges. A novel LiDAR-based portable traffic scanner (TScan) is introduced in this report to detect and track various types of road users (e.g., trucks, cars, pedestrians, and bicycles). The scope of this study included the development of a signal processing algorithm and a user interface, their implementation on a TScan research unit, and evaluation of the unit performance to confirm its practicality for safety and traffic engineering applications.
Format:

PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

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urn:sha256:3bc2fc9c8d264367a788006c00f59ed0e7abd78c7cd7a4cb8742636e22b76cd8
Download URL:

https://rosap.ntl.bts.gov/view/dot/31744/dot_31744_DS1.pdf
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Guaranteed LiDAR-aided multi-object tracking at road intersections : USDOT Region V Regional University Transportation Center final report.

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