Abstract
In recent years, numerous multisensor data fusion systems have been developed for wide application. There are many algorithms in multisensor data fusion, D-S evidence theory is a useful method for dealing with uncertainty problems. This paper describes the main features of the evidential combination algorithm which is implemented in our research, It also gives improvement to the shortage of its combine rule and gives it's new rule, thus we can combine high conflicted evidences with different weights, which have been calculated through different information included in the numerous evidences. The examples have been done to demonstrate the efficiency of the new combine rule, it can improve the reliability of the combination results.
Original language | English |
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Pages | 3124-3128 |
Number of pages | 5 |
Publication status | Published - 2004 |
Externally published | Yes |
Event | WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings - Hangzhou, China Duration: 15 Jun 2004 → 19 Jun 2004 |
Conference
Conference | WCICA 2004 - Fifth World Congress on Intelligent Control and Automation, Conference Proceedings |
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Country/Territory | China |
City | Hangzhou |
Period | 15/06/04 → 19/06/04 |
Keywords
- Basic probability assignment function
- Evidence theory
- Information fusion