Towards application of light detection and ranging sensor to traffic detection: an investigation of its built-in features and installation techniques-Reference-Cited by-同舟云学术

Towards application of light detection and ranging sensor to traffic detection: an investigation of its built-in features and installation techniques

Published:2020-08-24 Issue: Volume: Page:1-22
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Zhao Junxuan¹^ORCID,Xu Hao²^ORCID,Tian Yuan²^ORCID,Liu Hongchao¹^ORCID

Affiliation:

1. Department of Civil, Environmental, and Construction Engineering, Texas Tech University, Lubbock, TX, USA

2. Department of Civil and Environmental Engineering, University of Nevada, Reno, NV, USA

Funder

Nevada Department of Transportation

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Information Systems,Software,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15472450.2020.1807346

Reference27 articles.

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2. Bautista, C. M., Dy, C. A., Mañalac, M. I., Orbe, R. A. & Cordel, M. (2016, May). Convolutional neural network for vehicle detection in low resolution traffic videos [Paper presentation]. Proceedings of IEEE Region 10 Symposium (TENSYMP), 277–281. https://doi.org/10.1109/TENCONSpring.2016.7519418

3. Dangerous driving behavior detection using video-extracted vehicle trajectory histograms

4. Range Information Characterization of the Hokuyo UST-20LX LIDAR Sensor

5. Improvement of Lidar Data Accuracy Using Lidar-Specific Ground Targets

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