TY - GEN
T1 - The cooperative vehicle infrastructure system based on machine vision
AU - Tian, Daxin
AU - Zhang, Chuang
AU - Duan, Xuting
AU - Zhou, Jianshan
AU - Sheng, Zhengguo
AU - Leung, Victor
N1 - Publisher Copyright:
© 2017 Association for Computing Machinery.
PY - 2017/11/21
Y1 - 2017/11/21
N2 - The information acquisition is a key procedure of cooperative vehicle-infrastructure system (CVIS). With the advancement of computer image processing technology, more and more researchers use image recognition as the source of information acquisition. On this background, the authors develop a CVIS based on machine vision, including vehicular subsystem, the roadside subsystem and the parking lot subsystem. The system uses improved Canny algorithm to detect road channelization, HOG+SVM method to detect pedestrian and Haar+Adaboost method to detect vehicle. The experiment result shows that the detection accuracy and real-time of system is relatively high. In addition, the test also prove that the system is significant in driving assistance.
AB - The information acquisition is a key procedure of cooperative vehicle-infrastructure system (CVIS). With the advancement of computer image processing technology, more and more researchers use image recognition as the source of information acquisition. On this background, the authors develop a CVIS based on machine vision, including vehicular subsystem, the roadside subsystem and the parking lot subsystem. The system uses improved Canny algorithm to detect road channelization, HOG+SVM method to detect pedestrian and Haar+Adaboost method to detect vehicle. The experiment result shows that the detection accuracy and real-time of system is relatively high. In addition, the test also prove that the system is significant in driving assistance.
KW - CVIS
KW - Machine vision
KW - Pedestrian detection
KW - Road channelization detection
KW - Vehicle detection
UR - https://www.scopus.com/pages/publications/85040193074
U2 - 10.1145/3132340.3132347
DO - 10.1145/3132340.3132347
M3 - 会议稿件
AN - SCOPUS:85040193074
T3 - DIVANet 2017 - Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, Co-located with MSWiM 2017
SP - 85
EP - 89
BT - DIVANet 2017 - Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, Co-located with MSWiM 2017
PB - Association for Computing Machinery, Inc
T2 - 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, Co-located with MSWiM 2017
Y2 - 21 November 2017 through 25 November 2017
ER -