Abnormal Driving Behavior Detection Based on Covariance Manifold and LogitBoost-Reference-Cited by-同舟云学术

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Abnormal Driving Behavior Detection Based on Covariance Manifold and LogitBoost

Published:2018 Issue:11 Volume:55 Page:111503
ISSN:1006-4125
Container-title:Laser & Optoelectronics Progress
language:en
Short-container-title:激光与光电子学进展

Author:

Li Cijun 李此君,Liu Yunpeng 刘云鹏

Publisher

Shanghai Institute of Optics and Fine Mechanics

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Cited by 4 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. Recongnition of Distracted Driving Behavior Based on Improved Bi-LSTM Model and Attention Mechanism;IEEE Access;2024

2. Action Recognition Based on Adaptive Fusion of RGB and Skeleton Features;Laser & Optoelectronics Progress;2020

3. Driving Behavior Recognition Method Based on Tutor-Student Network;Laser & Optoelectronics Progress;2020

4. Analysis of Teachers'''' Actions Using Feature Dense Computation and Fusion Algorithm;Laser & Optoelectronics Progress;2019

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