3 citations · 7 across the 4 of their papers we have counts for
4 papers
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…
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…