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

Journals >Acta Optica Sinica >Volume 38 >Issue 10 >Page 1015003 > Article

Acta Optica Sinica
Vol. 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

Author Affiliations

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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DOI: 10.3788/AOS201838.1015003 Cite this Article Set citation alerts

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 Copy Citation Text

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References

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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