Researching | Abnormal Driving Behavior Detection Based on Covariance Manifold and LogitBoost

Laser & Optoelectronics Progress, Volume. 55, Issue 11, 111503(2018)

Abnormal Driving Behavior Detection Based on Covariance Manifold and LogitBoost

Cijun Li^{1,2,3,4,5、*} and Yunpeng Liu^1,2,4,5

Author Affiliations

¹ Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China

² Institute for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China

³ University of Chinese Academy of Sciences, Beijing 100049, China

⁴ Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China

⁵ Key Laboratory of Image Understanding and Computer Vision, Liaoning Province, Shenyang, Liaoning 110016, China

show less

Abstract Get PDF(in Chinese)

Figures&Tables (10)

References (21)

Paper Information

Cited By

Article index updated:Jun. 2, 2024

Citation counts are provided from Researching.

The article is cited by 2 article(s) from Researching.

Tools

Get Citation

Copy Citation Text

Cijun Li, Yunpeng Liu. Abnormal Driving Behavior Detection Based on Covariance Manifold and LogitBoost[J]. Laser & Optoelectronics Progress, 2018, 55(11): 111503

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: Machine Vision

Received: Apr. 23, 2018

Accepted: May. 29, 2018

Published Online: Aug. 14, 2019

The Author Email: Li Cijun (licijun@sia.cn)

DOI:10.3788/LOP55.111503

Topics

laser devices and laser physics

Lasers and Laser Optics

laser manufacturing

Instrumentation, Measurement and Metrology