5 papers
Magnetic Indoor Localization through CNN Regression and Rotation Invariance
Helge Rosé, Konstantin Klipp, Tom Koubek +2
Indoor positioning is an essential technology for a wide range of applications in GNSS-denied environments, including indoor navigation and IoT systems. Combining convolutional neu…
Location as a service with a MEC architecture
Christopher Schahn, Jorin Kouril, Bernd Schaeufele +1
In recent years, automated driving has become viable, and advanced driver assistance systems (ADAS) are now part of modern cars. These systems require highly precise positioning. I…
Enhanced Accessibility for Mobile Indoor Navigation
Johannes Wortmann, Bernd Schäufele, Konstantin Klipp +3
The navigation of indoor spaces poses difficult challenges for individuals with visual impairments, as it requires processing of sensory information, dealing with uncertainties, an…
Performance evaluation of a ROS2 based Automated Driving System
Jorin Kouril, Bernd Schäufele, Ilja Radusch +1
Automated driving is currently a prominent area of scientific work. In the future, highly automated driving and new Advanced Driver Assistance Systems will become reality. While Ad…
Railway LiDAR semantic segmentation based on intelligent semi-automated data annotation
Florian Wulff, Bernd Schaeufele, Julian Pfeifer +1
Automated vehicles rely on an accurate and robust perception of the environment. Similarly to automated cars, highly automated trains require an environmental perception. Although…