Model-Based Parameter Optimization for Ground Texture Based Localization Methods
Published in arXiv (Cornell University) • Sep 3, 2021
NobleIDNI7P16W52R08S25
Authors:,,
Jan Fabian Schmid
Stephan F. Simon
Rudolf Mester
Abstract
A promising approach to accurate positioning of robots is ground texture based localization. It is based on the observation that visual features of ground images enable fingerprint-like place recognition. We tackle the issue of efficient parametrization of such methods, deriving a prediction model f...
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