DocumentCode
245235
Title
A forward collision avoidance system adopting multi-feature vehicle detection
Author
Guan-Yu Chen ; Po-Chun Shen ; Chao-Yi Cho ; Vinay, M.S. ; Jiun-In Guo
Author_Institution
Nat. Chiao-Tung Univ., Hsinchu, Taiwan
fYear
2014
fDate
26-28 May 2014
Firstpage
125
Lastpage
126
Abstract
This paper presents a vehicle collision avoidance method and it is associated with the exploitation of multiple features based on the AdaBoost classifier result. The proposed system will enhance the precision rate and accuracy of vehicle detection from 72% to 96% using an AdaBoost detection method extracting multiple features in vehicle detection and false alarms are reduced.
Keywords
image classification; learning (artificial intelligence); object detection; road safety; road vehicles; AdaBoost classifier; false alarms; forward collision avoidance system; multifeature vehicle detection; vehicle collision avoidance method; Accuracy; Collision avoidance; Feature extraction; Image edge detection; Roads; Vehicle detection; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics - Taiwan (ICCE-TW), 2014 IEEE International Conference on
Conference_Location
Taipei
Type
conf
DOI
10.1109/ICCE-TW.2014.6904017
Filename
6904017
Link To Document