Paper Info
Title
Application of Interval Type-2 Fuzzy Sets in Unmanned Vehicle Visual Guidance.
Abstract
In the paper, a novel unmanned vehicle visual guidance is proposed by applying type-2 fuzzy comprehensive evaluation and time-varying universe. Unlike processing all image information in the traditional methods, the new guidance describes the visual focus of human drivers in a more practical way by using interval type-2 fuzzy sets, which can address the problem of linguistic ambiguity and data noise superior to conventional fuzzy sets. Based on the sets above, this method applies the fuzzy comprehensive evaluation method for the computer to select the appropriate visual focus and merges time-varying universe to establish a fuzzy visual guidance rule library which is close to human driving. During the process of image processing, it can assist with selecting the more reasonable visual focus depending on the rule library. The examples indicate that the method can help to make efforts at cost reduction of visual processing, which shorts the response time and reaction distance greatly.
Year
DOI
Venue
2019
10.1007/s40815-019-00680-4
International Journal of Fuzzy Systems
Keywords
Field
DocType
Interval T2 FSs, Fuzzy comprehensive evaluation, Unmanned vehicle
Visual guidance,Mathematical optimization,Visual processing,Fuzzy logic,Response time,Image processing,Fuzzy set,Artificial intelligence,Ambiguity,Cost reduction,Mathematics,Machine learning
Journal
Volume
Issue
ISSN
21
6
1562-2479
Citations 
PageRank 
References 
3
0.39
0
Authors
3
Name
Order
Citations
PageRank
Hong Mo1413.02
Xuanming Zhao281.47
Fei-Yue Wang35273480.21