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Content Provider | IEEE Xplore Digital Library |
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Author | Heesung Chae Christiand Sunglok Choi Wonpil Yu Jaeil Cho |
Copyright Year | 2010 |
Description | Author affiliation: Electronics and Telecommunication Research Institute, Korea (Heesung Chae; Christiand; Sunglok Choi; Wonpil Yu; Jaeil Cho) |
Abstract | Although GPS/DGPS become the dominant localization solution in the outdoor environment, it needs assistant sensors or algorithms for the covering the area not to get the position information from GPS. Especially, in the robot navigation, the sensor fusion algorithm is needed. In addition, it is hard to get the position information at the area surrounded the high buildings such as the downtown because GPS signals is so feeble. Therefore, this paper illustrates an efficient method for the outdoor localization incorporating DGPS, Encoder, and IMU sensor based on EKF. To show the localization performances of the proposed fusion algorithm, we have implemented the proposed algorithm and applied the advertising robot platform which is operating well during 80 days in the real semi-outdoor structured environment. The proposed sensor fusion algorithm and the experimental results showed the feasibility of our novel sensor fusion algorithm. |
Starting Page | 1222 |
Ending Page | 1227 |
File Size | 1842436 |
Page Count | 6 |
File Format | |
ISBN | 9781424466740 |
ISSN | 21530866 |
e-ISBN | 9781424466764 |
DOI | 10.1109/IROS.2010.5649693 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-10-18 |
Publisher Place | Taiwan |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Global Positioning System Robot sensing systems Current measurement Robot kinematics Sensor fusion |
Content Type | Text |
Resource Type | Article |
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