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 :
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