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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Format: | Book Chapter |
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KIT Scientific Publishing
2013
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Online Access: | Get Fullteks DOAB: description of the publication |
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LEADER | 01419naaaa2200277uu 4500 | ||
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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 | ||
856 | 4 | 0 | |a www.oapen.org |u https://www.ksp.kit.edu/9783731501350 |7 0 |z Get Fullteks |
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 |