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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Han Wang Yi Yan Dan Wei Wang |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Electrical and Electronic Engineering Nanyang Technological University, Singapore (Han Wang; Yi Yan; Dan Wei Wang) |
| Abstract | This paper describes a GA approach for solving the SLAM problem. We treat the local scan from laser sensor as an image pattern. Two subsequent scans were matched to find the robot's ego motion. This motion is used as updates for robot's global position estimation in the map. A virtual scan is obtained from the map in the robot's current position. This virtual scan is then matched with the current laser scan to update robot's location in the map. The innovation in this paper is the matching algorithm to determine the relative location of two patterns: (1) two successive scans and (2) current scan with virtual scans taken from the map. The matching algorithm is to find the optimal location of one pattern to the other, namely (dx, dy, de) (two for translation and one for rotation). This is reduced to a three-dimensional search problem. The GA we developed can achieve high accuracy with fast computational time. Experiments are performed under simulated and real data. The performance obtained outperforms ICP. |
| Starting Page | 1796 |
| Ending Page | 1802 |
| File Size | 382099 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424478149 |
| e-ISBN | 9781424478156 |
| DOI | 10.1109/ICARCV.2010.5707965 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-07 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Biological cells Simultaneous localization and mapping Encoding Gallium genetic algorithm SLAM |
| Content Type | Text |
| Resource Type | Article |
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