Mapping and Localization in Urban Environments Using Cameras
In this work we present a system to fully automatically create a highly accurate visual feature map from image data acquired from within a moving vehicle. Moreover, a system for high precision self localization is presented. Furthermore, we present a method to automatically learn a visual descriptor...
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| Superior document: | Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie |
|---|---|
| : | |
| Year of Publication: | 2013 |
| Language: | English |
| Series: | Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
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| Physical Description: | 1 electronic resource (VIII, 116 p. p.) |
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| 100 | 1 | |a Lategahn, Henning |4 auth | |
| 245 | 1 | 0 | |a Mapping and Localization in Urban Environments Using Cameras |
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| 520 | |a In this work we present a system to fully automatically create a highly accurate visual feature map from image data acquired from within a moving vehicle. Moreover, a system for high precision self localization is presented. Furthermore, we present a method to automatically learn a visual descriptor. The map relative self localization is centimeter accurate and allows autonomous driving. | ||
| 546 | |a English | ||
| 653 | |a Maschinelles Sehen | ||
| 653 | |a Lokalisierung | ||
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| 653 | |a Autonomes Fahren | ||
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