Search Results for author: Johannes Hinckeldeyn

Found 5 papers, 0 papers with code

Method for Specifying Location Data Requirements for Intralogistics Applications

no code implementations24 Apr 2023 Jakob Schyga, Markus Knitt, Johannes Hinckeldeyn, Jochen Kreutzfeldt

For intralogistics, such a method is of particular relevance due to the high-cost sensitivity and heterogeneity of partially safety-relevant indoor localization applications.

Indoor Localization

Estimating the Pose of a Euro Pallet with an RGB Camera based on Synthetic Training Data

no code implementations12 Oct 2022 Markus Knitt, Jakob Schyga, Asan Adamanov, Johannes Hinckeldeyn, Jochen Kreutzfeldt

The experimental validation of the algorithm proves that the 6D pose estimation of a standardized Euro pallet with a Red-Green-Blue (RGB) camera is feasible.

6D Pose Estimation

Critical Evaluation of LOCO dataset with Machine Learning

no code implementations27 Sep 2022 Recep Savas, Johannes Hinckeldeyn

Lastly, the LOCO dataset was examined, if it is possible to achieve the same training results in comparison to the original publications.

Object object-detection +1

Analysis of the Operation of Industrial Trucks based on Position Data

no code implementations15 Dec 2021 Jakob Schyga, Hendrik Rose, Johannes Hinckeldeyn, Jochen Kreutzfeldt

This is achieved by developing a concept for the analysis of industrial truck operations based merely on position data.

Motion Detection Position

Application-driven Test and Evaluation Framework for Indoor Localization Systems in Warehouses

no code implementations22 Jul 2021 Jakob Schyga, Johannes Hinckeldeyn, Benjamin Bruss, Christoph Bamberger, Jochen Kreutzfeldt

One reason is the lack of market transparency and stakeholder's trust in the systems' performance as a consequence of poor use of Test and Evaluation (T&E) methods and transferability of the obtained T&E results.

Indoor Localization

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