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  4. HD Ground - A Database for Ground Texture Based Localization
 
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2022
Conference Paper
Title

HD Ground - A Database for Ground Texture Based Localization

Abstract
We present the HD Ground Database, a comprehensive database for ground texture based localization. It contains sequences of a variety of textures, obtained using a downward facing camera. In contrast to existing databases of ground images, the HD Ground Database is larger, has a greater variety of textures, and has a higher image resolution with less motion blur. Also, our database enables the first systematic study of how natural changes of the ground that occur over time affect localization performance, and it allows to examine a teach-and-repeat navigation scenario. We use the HD Ground Database to evaluate four state-of-the-art localization approaches for global localization, localization with the approximate pose being known, and relative localization.
Author(s)
Schmid, Jan Fabian
Simon, Stephan F.
Radhakrishnan, Raaghav
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Frintrop, Simone
Mester, Rudolf
Mainwork
IEEE International Conference on Robotics and Automation, ICRA 2022  
Conference
International Conference on Robotics and Automation 2022  
DOI
10.1109/ICRA46639.2022.9811977
Language
English
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
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