Multi Classification Method of Lane Arrow Markings Based on Support Vector Machines with Adaptive Partitioning Coding

Enyu Du; Ning Zhang; Yandi Li

doi:10.3788/AOS201838.1015003

Acta Optica Sinica, Volume. 38, Issue 10, 1015003(2018)

Multi Classification Method of Lane Arrow Markings Based on Support Vector Machines with Adaptive Partitioning Coding

Enyu Du^*, Ning Zhang^*, and Yandi Li

Key Laboratory of Optoelectric Measurement and Optical Information Transmission Technology of Ministry of Education, School of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun, Jilin 130022, China

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Enyu Du, Ning Zhang, Yandi Li. Multi Classification Method of Lane Arrow Markings Based on Support Vector Machines with Adaptive Partitioning Coding[J]. Acta Optica Sinica, 2018, 38(10): 1015003

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Paper Information

Category: Machine Vision

Received: May. 7, 2018

Accepted: Jun. 13, 2018

Published Online: May. 9, 2019

The Author Email:

DOI:10.3788/AOS201838.1015003

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology