Search Results for author: Jan Fabian Schmid

Found 4 papers, 0 papers with code

Deep Metric Learning for Ground Images

no code implementations3 Sep 2021 Raaghav Radhakrishnan, Jan Fabian Schmid, Randolf Scholz, Lars Schmidt-Thieme

Ground texture based localization methods are potential prospects for low-cost, high-accuracy self-localization solutions for robots.

Image Retrieval Metric Learning +1

Model-Based Parameter Optimization for Ground Texture Based Localization Methods

no code implementations3 Sep 2021 Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester

A promising approach to accurate positioning of robots is ground texture based localization.

Features for Ground Texture Based Localization -- A Survey

no code implementations27 Feb 2020 Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester

Ground texture based vehicle localization using feature-based methods is a promising approach to achieve infrastructure-free high-accuracy localization.

Ground Texture Based Localization Using Compact Binary Descriptors

no code implementations25 Feb 2020 Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester

Ground texture based localization is a promising approach to achieve high-accuracy positioning of vehicles.

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