Work

Detection of Traffic and Road Condition Based on SVM and PHOW

Year: 2014

Type: article

Abstract: To avoid the defects of physical detection methods, such as road spoiling, complex algorithms and equipment maintenance, SVM (Support Vector Machine) and PHOW (Pyramid Histogram of Words) are explored to detect the traffic and road condition. Experimental results show that the average accuracies go beyond 82.5% in the case of different weather. The proposed method can effectively classify 4 types of traffic and road condition images.

Source: Applied Mechanics and Materials

DOI: 10.4028/www.scientific.net/amm.513-517.3651

Authors: Shi Jie Jia, Yu Ting Zhai, Xiao Wei Jia

Institutions: Dalian Jiaotong University, Shandong College of Information Technology

Language: English

Topic: Infrastructure Maintenance and Monitoring

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: hybrid

OpenAlex ID: W2094285870

FWCI:

Cites: 7

Cited by: 1

Related to: 10