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Publications (5)
Differential GPS, commonly referred as DGPS, is a well-known and very accurate localization system for many outdoor applications in particular for mobile outdoor robotics. The most common drawback of DGPS systems are the high costs for both base station and receivers. In this paper, we present a setup that uses third-party open-source software and...
This paper presents a semantic mapping system for mobile robots in intralogistics environments. The sensor data captured with a solid-state RGB-D LiDAR camera serves as input data for state-of-the-art deep learning based object recognition systems. The presented approach uses two deep learning algorithms, one for the 2D and one for the 3D space. Th...
Changing transport regulations for intralogistics tasks leads to the need for object detection of hazard labels on parcels in high-resolution grayscale images. For this reason, this paper compares different Convolutional Neural Network (CNN) based object detection systems. Specifically, a YOLO implementation known as Darkflow as well as a self-deve...
To face the challenges of today’s market requirements, a huge effort is made to plan continuous flow manufacturing systems used today. Simultaneously disturbances during the production have decisive negative effects on the effectiveness. To mitigate this problem, current research programs try to use flexible production systems with a high degree of...
