Accurate detection of vehicle, pedestrian, cyclist and wheelchair from roadside light detection and ranging sensors-Reference-Cited by-同舟云学术

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Accurate detection of vehicle, pedestrian, cyclist and wheelchair from roadside light detection and ranging sensors

Published:2023-08-07 Issue: Volume: Page:1-17
ISSN:1547-2450
Container-title:Journal of Intelligent Transportation Systems
language:en
Short-container-title:Journal of Intelligent Transportation Systems

Author:

Zhao Junxuan¹²^ORCID,Xu Hao³^ORCID,Chen Zhihui³^ORCID,Liu Hongchao²^ORCID

Affiliation:

1. Department of Information Technology, Kennesaw State University, Marietta, GA, USA

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

3. 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/10.1080/15472450.2023.2243816

Reference28 articles.

1. DepthCN: Vehicle detection using 3D-LIDAR and ConvNet

2. A desicion-theoretic generalization of on-line learning and an application to boosting

3. Object Classification Using CNN-Based Fusion of Vision and LIDAR in Autonomous Vehicle Environment

4. Random decision forests

5. Long Short-Term Memory

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