Cost-effective Vehicle Recognition System in Challenging Environment Empowered by Micro-Pulse LiDAR and Edge AI-Reference-Cited by-同舟云学术

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Cost-effective Vehicle Recognition System in Challenging Environment Empowered by Micro-Pulse LiDAR and Edge AI

Published:2024-06-02 Issue: Volume: Page:645-650
ISSN:
Container-title:2024 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Jiang Junyue¹,Lu Hongliang²,Liu Chenxi³,Zhu Meixin²,Chen Yiran⁴,Yang Hao Frank¹

Affiliation:

1. Johns Hopkins University,Civil and System Engineering,Baltimore,MD

2. The Hong Kong University of Science and Technology (Guangzhou),Guangzhou,China

3. Civil & Environmental Engineering University of Washington Seattle,USA

4. Duke University,Electrical and Computer Engineering,Durham,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10587320/10588370/10588634.pdf?arnumber=10588634

Reference39 articles.

1. Estimating Traffic Stream Space Mean Speed and Reliability from Dual- and Single-Loop Detectors

2. Vehicle Classification in Intelligent Transport Systems: An Overview, Methods and Software Perspective

3. Traffic-Informed Multi-Camera Sensing (TIMS) System Based on Vehicle Re-Identification

4. Cooperative multi-camera vehicle tracking and traffic surveillance with edge artificial intelligence and representation learning

5. R-fcn: Object detection via region-based fully convolutional networks;Dai;Advances in neural information processing systems,2016

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