Abstract
A geometric map which quantitatively represents the locations of entities in the environment are widely employed for indoor navigation. Navigation based on a geometric map provides high accuracy in positioning, but making an accurate map for a large area is difficult. To cope with this problem, this paper proposes a framework of indoor navigation based on a partially quantitative map. The map comprises the models of geometric entities in the environment, the locations of which are partially defined. Using the partial information, the robot searches are recognizes entities as a landmark while navigating in the environment.
| Original language | English |
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| Pages | 626-632 |
| Number of pages | 7 |
| Publication status | Published - 2000 Dec 1 |
| Event | 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems - Takamatsu, Japan Duration: 2000 Oct 31 → 2000 Nov 5 |
Conference
| Conference | 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems |
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| Country/Territory | Japan |
| City | Takamatsu |
| Period | 00/10/31 → 00/11/5 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Computer Vision and Pattern Recognition
- Computer Science Applications