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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhou, B. Dai, X.Z. |
| Copyright Year | 2010 |
| Description | Author affiliation: Key Laboratory of Measurement and Control of CSE (School of Automation, Southeast University), Ministry of Education, Nanjing 210096, China (Zhou, B.; Dai, X.Z.) |
| Abstract | This paper presents a new set-membership based real-time terrain estimation algorithm to generate the elevation map of rough terrain by a mobile robot with a scanning laser in outdoor environments. Unlike conventional probabilistic algorithms, all underlying uncertainties are modeled as unknown-but-bounded noises without other assumptions, and the set-membership framework is then proposed to construct the set-valued elevation map with elevation variation in each cell bounded by intervals. The pose of the mobile robot is also estimated simultaneously by the set-membership filter and fused to the elevation map to modify the accuracy of the terrain model. Simulations and experimental results demonstrate the effectiveness and robustness of the proposed method. |
| Starting Page | 440 |
| Ending Page | 445 |
| File Size | 274849 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424451401 |
| ISSN | 2152744X |
| DOI | 10.1109/ICMA.2010.5589112 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-04 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Estimation Uncertainty Robot sensing systems Three dimensional displays Robot kinematics Noise |
| Content Type | Text |
| Resource Type | Article |
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