DocumentCode
3360587
Title
The application of evidence theory in the recognition of car
Author
Zhigang, Li ; Xueyi, Tian
Author_Institution
Inf. & Commun. Eng. Coll., Harbin Eng. Univ., Harbin, China
fYear
2010
fDate
26-28 June 2010
Firstpage
4829
Lastpage
4832
Abstract
In this paper, it introduces the evidence theory in the recognition of car. Firstly, it uses the gray correlation algorithm to get the Basic Probability Assignment Function (BPAF) of evidence theory, and then designs three evidence fusion structures, including concentrated fusion, distributed fusion without feedback and distributed fusion with feedback, which fuse the data from different measurements and sensors. Finally, it adopts the basic credibility number as the decision-making method.
Keywords
feedback; grey systems; image recognition; probability; basic probability assignment function; car recognition; concentrated fusion; decision making; distributed fusion; evidence fusion structures; evidence theory; feedback; gray correlation; Algorithm design and analysis; Bismuth; Decision making; Educational institutions; Feedback; Fuses; Sensor fusion; Basic Credibility number; Evidence Theory; Fusion Structure; Recognition of car;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7737-1
Type
conf
DOI
10.1109/MACE.2010.5536294
Filename
5536294
Link To Document