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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lakaemper, R. Latecki, L.J. Wolter, D. |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of CIS, Temple Univ., Philadelphia, PA, USA (Lakaemper, R.; Latecki, L.J.) |
| Abstract | The purpose of this paper is to present a technique to create a global map of robots' surroundings by converting the raw data acquired from a scanning sensor to a compact map composed of just a few generalized polylines (polygonal curves). We propose a new approach to merging robots' maps that is composed of a local geometric process of merging similar line segments (termed discrete segment evolution) with a global statistical control process. In the case of single robot, we are able to incrementally build a map showing the environment the robot has traveled through by merging its polygonal map with actual scans. In the case of a robot team, we are able to identify common parts of their partial maps and if common parts are present construct a joint map of the explored environment. |
| Starting Page | 3846 |
| Ending Page | 3851 |
| File Size | 147279 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780389123 |
| DOI | 10.1109/IROS.2005.1544978 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-08-02 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Shape Robot sensing systems Cognitive robotics Merging Simultaneous localization and mapping Stress Computational Intelligence Society Mathematics Informatics Process control Shape Similarity Robot Mapping Team of Robots Map Fusion Cognitive Robotics |
| Content Type | Text |
| Resource Type | Article |
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