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Please use this identifier to cite or link to this item:
http://hdl.handle.net/1721.1/6006
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| Title: | Location Recognition Using Stereo Vision |
| Authors: | Braunegg, David J. |
| Keywords: | recognition
mobile robot
stereo vision
navigation |
| Issue Date: | 1-Oct-1989 |
| Series/Report no.: | AIM-1186 |
| Abstract: | A mobile robot must be able to determine its own position in the world. To support truly autonomous navigation, we present a system that builds and maintains its own models of world locations and uses these models to recognize its world position from stereo vision input. The system is designed to be robust with respect to input errors and to respond to a gradually changing world by updating the world location models. We present results from tests of the system that demonstrate its reliability. The model builder and recognition system fit into a planned world modeling system that we describe. |
| URI: | http://hdl.handle.net/1721.1/6006 |
| Appears in Collections: | AI Memos (1959 - 2004)
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Files in This Item:
| File |
Description |
Size | Format |
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| AIM-1186.ps | | 2010Kb | PostScript | View/Open | | AIM-1186.pdf | | 1551Kb | Adobe PDF | View/Open |
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