Journal Published Online: 06 March 2020
Volume 49, Issue 1

Automatic Vehicle Tracking with LiDAR-Enhanced Roadside Infrastructure

CODEN: JTEVAB

Abstract

Vehicle tracking technology is a prerequisite for the connected-vehicle (CV) system. However, a mixture of CV and unconnected vehicles will be under normal conditions on roads in the near future. How to obtain the real-time traffic status of unconnected vehicles remains a challenge for traffic engineers. The roadside Light Detection and Ranging (LiDAR) sensor provides a solution for collecting real-time high-resolution micro traffic data of all road users (CV and unconnected vehicles). This article developed a systematic procedure for vehicle tracking using the roadside LiDAR sensors. The procedure can be divided into five major parts: point registration, background filtering, point clustering, object classification, and vehicle tracking. For each step, the corresponding data processing algorithms were provided. A field test was conducted to evaluate the performance of the proposed method. Compared to the state-of-the-art method, the proposed methods can track vehicles with higher accuracy and lower computation loads.

Author Information

Wu, Jianqing
School of Qilu Transportation, Shandong University, Jinan, Shandong, China
Zhang, Yongsheng
Department of Civil and Environmental Engineering, University of Nevada, Reno, Nevada, USA
Tian, Yuan
Department of Civil and Environmental Engineering, University of Nevada, Reno, Nevada, USA
Yue, Rui
Department of Civil and Environmental Engineering, University of Nevada, Reno, Nevada, USA
Zhang, Hongbo
School of Qilu Transportation, Shandong University, Jinan, Shandong, China
Pages: 13
Price: $25.00
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Details
Stock #: JTE20190859
ISSN: 0090-3973
DOI: 10.1520/JTE20190859