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 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....

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Bibliographic Details
Main Author: Lategahn, Henning (auth)
Format: Book Chapter
Published: KIT Scientific Publishing 2013
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DOAB: description of the publication
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001 doab_20_500_12854_52717
005 20210211
020 |a KSP/1000037227 
020 |a 9783731501350 
024 7 |a 10.5445/KSP/1000037227  |c doi 
041 0 |a English 
042 |a dc 
100 1 |a Lategahn, Henning  |4 auth 
245 1 0 |a Mapping and Localization in Urban Environments Using Cameras 
260 |b KIT Scientific Publishing  |c 2013 
300 |a 1 electronic resource (VIII, 116 p. p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |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. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by-sa/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by-sa/4.0/ 
546 |a English 
653 |a Maschinelles Sehen 
653 |a Lokalisierung 
653 |a Kartierung 
653 |a Autonomes Fahren 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/52717  |7 0  |z DOAB: description of the publication