3 citations · 8 across the 8 of their papers we have counts for
8 papers
Method for Specifying Location Data Requirements for Intralogistics Applications
Jakob Schyga, Markus Knitt, Johannes Hinckeldeyn +1
Various applications leverage location data to increase transparency, efficiency, and safety in intralogistics. There are several properties of location data, such as the data's de…
Comparison of Varied 2D Mapping Approaches by Using Practice-Oriented Evaluation Criteria
Justin Ziegenbein, Manuel Schrick, Marko Thiel +2
A key aspect of the precision of a mobile robots localization is the quality and aptness of the map it is using. A variety of mapping approaches are available that can be employed…
Estimating the Pose of a Euro Pallet with an RGB Camera based on Synthetic Training Data
Markus Knitt, Jakob Schyga, Asan Adamanov +2
Estimating the pose of a pallet and other logistics objects is crucial for various use cases, such as automatized material handling or tracking. Innovations in computer vision, com…
Critical Evaluation of LOCO dataset with Machine Learning
Recep Savas, Johannes Hinckeldeyn
Purpose: Object detection is rapidly evolving through machine learning technology in automation systems. Well prepared data is necessary to train the algorithms. Accordingly, the o…
Decision Trees for Analyzing Influences on the Accuracy of Indoor Localization Systems
Jakob Schyga, Swantje Plambeck, Johannes Hinckeldeyn +2
Absolute position accuracy is the key performance criterion of an Indoor Localization System (ILS). Since ILS are heterogeneous and complex cyber-physical systems, the localization…
Analysis of the Operation of Industrial Trucks based on Position Data
Jakob Schyga, Hendrik Rose, Johannes Hinckeldeyn +1
Indoor positioning systems (IPSs) can make an important contribution to the analysis and optimization of internal transport processes. The overall aim of this work is to examine ho…
Application-driven Test and Evaluation Framework for Indoor Localization Systems in Warehouses
Jakob Schyga, Johannes Hinckeldeyn, Benjamin Bruss +2
Despite their potential of increasing operational efficiency, transparency, and safety, the use of Localization and Tracking Systems (LTSs) in warehouse environments remains seldom…
Automata Learning for Automated Test Generation of Real Time Localization Systems
Swantje Plambeck, Jakob Schyga, Johannes Hinckeldeyn +2
Cyber Physical Systems (CPSs) are often black box systems for which no exact model exists. Automata learning allows to build abstract models of CPSs and is used in several scenario…