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210512 ||| eng |
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|a 9783731501350
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020 |
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|a 1000037227
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|a Lategahn, Henning
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245 |
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|a Mapping and Localization in Urban Environments Using Cameras
|h Elektronische Ressource
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260 |
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|b KIT Scientific Publishing
|c 2013
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300 |
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|a 1 electronic resource (VIII, 116 p. p.)
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653 |
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|a Maschinelles Sehen
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653 |
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|a Lokalisierung
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653 |
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|a Autonomes Fahren
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653 |
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|a Technology: general issues / bicssc
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653 |
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|a Kartierung
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041 |
0 |
7 |
|a eng
|2 ISO 639-2
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989 |
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|b DOAB
|a Directory of Open Access Books
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|a Schriftenreihe / Institut für Mess- und Regelungstechnik, Karlsruher Institut für Technologie
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500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-sa/4.0/
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028 |
5 |
0 |
|a 10.5445/KSP/1000037227
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856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/52717
|z DOAB: description of the publication
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856 |
4 |
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|u https://www.ksp.kit.edu/9783731501350
|7 0
|x Verlag
|3 Volltext
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|a 700
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|a 600
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|a In this work we present a system to fully automatically create a highly accurate visual feature map from image data aquired 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.
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