Aerial LiDAR-based 3D Object Detection and Tracking for Traffic Monitoring-Reference-Cited by-同舟云学术

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Aerial LiDAR-based 3D Object Detection and Tracking for Traffic Monitoring

Published:2023-05-21 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Symposium on Circuits and Systems (ISCAS)
language:
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Author:

Cherif Baya¹,Ghazzai Hakim¹,Alsharoa Ahmad²,Besbes Hichem³,Massoud Yehia¹

Affiliation:

1. King Abdullah University of Science and Technology,Innovation Technologies Laboratories,Thuwal,Saudi Arabia

2. Missouri University of Science and Technology,Rolla,Missouri,USA

3. Higher School of Communications of Tunis, University of Carthage,Tunis,Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10181241/10181318/10181371.pdf?arnumber=10181371

Reference18 articles.

1. Cyberbotics Ltd. Webots™: Professional Mobile Robot Simulation

2. Dynamic Multi-LiDAR Based Multiple Object Detection and Tracking

3. A New Approach to Linear Filtering and Prediction Problems

4. PV- RCNN: point-voxel feature set abstraction for 3D object detection;shi;ArXiv,2021

5. Rapid object detection using a boosted cascade of simple features

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. LiDAR From the Sky: UAV Integration and Fusion Techniques for Advanced Traffic Monitoring;IEEE Systems Journal;2024-09

2. Insights into aerial intelligence: assessing CNN-based algorithms for human action recognition and object detection in diverse environments;Multimedia Tools and Applications;2024-06-28

3. Empowering Urban Traffic Management: Elevated 3D LiDAR for Data Collection and Advanced Object Detection Analysis;2024 IEEE 30th International Conference on Telecommunications (ICT);2024-06-24

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