Towards Efficient and Robust Night-time Vehicle Flow Monitoring via Lidar-based Detection-Reference-Cited by-同舟云学术

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Towards Efficient and Robust Night-time Vehicle Flow Monitoring via Lidar-based Detection

Published:2022-11-04 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Symposium on Product Compliance Engineering - Asia (ISPCE-ASIA)
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Author:

Yi Sheng¹,Zhang Hao²,Jiang Luyao¹,Zhou Yangkai¹,Xiao Ke³,Liu Kai¹

Affiliation:

1. Chongqing University,Department of Computer Science,Chongqing,China

2. Chongqing University of Posts and Telecommunications,Department of Computer Science,Chongqing,China

3. Chongqing Normal University,Department of Computer Science,Chongqing,China

Funder

National Natural Science Foundation of China

Venture & Innovation Support Program for Chongqing Overseas Returnees

Chongqing Municipal Education Commission

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9970763/9970774/09970885.pdf?arnumber=9970885

Reference23 articles.

1. A Hierarchical Architecture for the Future Internet of Vehicles

2. A method for 3D point cloud classification based on segmentation results;zhao;Mapping Science,2022

3. Automatic Background Construction and Object Detection Based on Roadside LiDAR

4. A Dim-small Target Real-time Detection Method Based on Enhanced YOLO

5. Fast LiDAR R-CNN: Residual Relation-Aware Region Proposal Networks for Multiclass 3-D Object Detection

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