- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: Brenner, Claus: Vehicle localization using landmarks obtained by a lidar mobile mapping system. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [PCV 2010 - Photogrammetric Computer Vision And Image Analysis, Pt I] 38 (2010), Nr. Part 3A, S. 139-144
- Event
-
Veröffentlichung
- (where)
-
Hannover
- (who)
-
Gottfried Wilhelm Leibniz Universität Hannover
- (when)
-
2010
- Event
-
Veröffentlichung
- (where)
-
Hannover
- (who)
-
Technische Informationsbibliothek (TIB)
- (when)
-
2010
- Creator
- DOI
-
10.15488/1137
- URN
-
urn:nbn:de:101:1-2020080807081971482584
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:51 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Brenner, Claus
- Gottfried Wilhelm Leibniz Universität Hannover
- Technische Informationsbibliothek (TIB)
Time of origin
- 2010
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Vehicle localization by lidar point correlation improved by change detection
VEHICLE LOCALIZATION BY LIDAR POINT CORRELATION IMPROVED BY CHANGE DETECTION
Hand landmarks detection and localization in color images
Scale-invariant localization using quasi-semantic object landmarks
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POSSIBILITIES FOR USING LIDAR AND PHOTOGRAMMETRIC DATA OBTAINED WITH AN UNMANNED AERIAL VEHICLE FOR LEVEE MONITORING
SmartLoc: sensing landmarks silently for smartphone-based metropolitan localization
Maximum consensus localization using lidar sensors
Landmarks
Short-range Lidar SLAM utilizing localization data of monocular localization
Improved Intelligent Vehicle Localization Using Magnetic Ruler
Possibility of Clear Air Turbulence Localization with Lidar
Vehicle localization by lidar point correlation improved by change detection
VEHICLE LOCALIZATION BY LIDAR POINT CORRELATION IMPROVED BY CHANGE DETECTION
Hand landmarks detection and localization in color images
Scale-invariant localization using quasi-semantic object landmarks
MULO: LiDAR Odometry via MUlti-Landmarks Joint Optimization
POSSIBILITIES FOR USING LIDAR AND PHOTOGRAMMETRIC DATA OBTAINED WITH AN UNMANNED AERIAL VEHICLE FOR LEVEE MONITORING
SmartLoc: sensing landmarks silently for smartphone-based metropolitan localization
Maximum consensus localization using lidar sensors
Landmarks
Short-range Lidar SLAM utilizing localization data of monocular localization
Improved Intelligent Vehicle Localization Using Magnetic Ruler