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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhao Yibing Li Linhui Guo Lie Zhang Mingheng |
| Copyright Year | 2010 |
| Abstract | Autonomous navigation in cross-country environments presents many new challenges including obstacle perception for Unmanned Ground Vehicle. This paper proposes new method that is suitable for distributing Basic Probability Assignment (BPA), based on which D-S theory of evidence is employed to integrate sensors information and recognize the obstacle. Firstly, select the experiment formula, then by using the fuzzy interpolation we obtain the subordinate to each event in identification framework, secondly, assume the subordinate be equal to correlation coefficient in the formula, which means each feature evidence corresponding to every element. The last step is to extract feature evidence and calculate the Basic Probability Assignment based on the above, and the current obstacle is identified by applying Dempster's combination rules. The test results show the validity of this new method and its application in cross-country environment perception. |
| Starting Page | 997 |
| Ending Page | 1001 |
| File Size | 772003 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424483334 |
| DOI | 10.1109/ISDEA.2010.152 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-13 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Unmanned Ground Vehicle Correlation Uncertainty Image color analysis Basic Probability Assignment Image edge detection Environment Perception D-S Theory of Evidence Feature extraction Educational institutions Sensors |
| Content Type | Text |
| Resource Type | Article |
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