Title :
The Extension-Based Recognition Method of Vehicle Type
Author :
Yigui, Qiu ; Yuanyuan, Yang ; Ling, Zhang ; Xing, Liu
Author_Institution :
Guangdong Univ. of Technol., Guangzhou
Abstract :
The automatic recognition of vehicle type plays an important role in traffic management and automatic toll collection. The research of the recognition mainly focuses on the application of fuzzy theory and neural network theory at present. This paper presents a method which applies extension set and dependent function to process the characteristic data of vehicle. The method can identify common cars, buses and trucks. It also establishes the relationship between the characteristic data of vehicle and the real number. It is of great help to the standardization of computer processing.
Keywords :
fuzzy set theory; neural nets; object recognition; road traffic; road vehicles; traffic information systems; automatic recognition; automatic toll collection; computer processing; extension-based recognition method; fuzzy theory; neural network theory; traffic management; vehicle type; Automated highways; Conference management; Fuzzy neural networks; Information technology; Intelligent systems; Neural networks; Standardization; Technology management; Telecommunication traffic; Vehicles;
Conference_Titel :
Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on
Conference_Location :
Busan
Print_ISBN :
978-0-7695-3407-7
DOI :
10.1109/ICCIT.2008.49
