A Virtual Method for Optimizing Deployment of Roadside Monitoring Lidars at As-Built Intersections-Reference-Cited by-同舟云学术

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A Virtual Method for Optimizing Deployment of Roadside Monitoring Lidars at As-Built Intersections

Published:2023-11 Issue:11 Volume:24 Page:11835-11849
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Ma Yang¹^ORCID,Zheng Yubing¹,Wang Shuyi²^ORCID,Wong Yiik Diew³^ORCID,Easa Said M.⁴^ORCID

Affiliation:

1. School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, China

2. College of Civil Engineering, Fuzhou University, Fuzhou, China

3. School of Civil and Environmental Engineering, Nanyang Technological University, Jurong West, Singapore

4. Department of Civil Engineering, Toronto Metropolitan University, Toronto, ON, Canada

Funder

Fundamental Research Funds for the Central Universities

Guangdong Science and Technology Strategic Innovation Fund

Natural Sciences and Engineering Research Council of Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/10304348/10164642.pdf?arnumber=10164642

Reference41 articles.

1. A Framework for Simulative Evaluation and Optimization of Point Cloud-Based Automotive Sensor Sets

2. Placement Optimization of Multiple Lidar Sensors for Autonomous Vehicles

3. Quantifying the performance and optimizing the placement of roadside sensors for cooperative vehicle‐infrastructure systems

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Roadside LiDAR placement for cooperative traffic detection by a novel chance constrained stochastic simulation optimization approach;Transportation Research Part C: Emerging Technologies;2024-10

2. Virtual‐real‐fusion simulation framework for evaluating and optimizing small‐spatial‐scale placement of cooperative roadside sensing units;Computer-Aided Civil and Infrastructure Engineering;2024-02-06

3. Sensing Quality Driven Positioning and Orientation for LiDAR Sensors;2023 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT);2023-12-10

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