3 papers
cs.CV2024
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…
cs.RO2024
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…
eess.SP2020
Driver Assistance for Safe and Comfortable On-Ramp Merging Using Environment Models Extended through V2X Communication and Role-Based Behavior Predictions
Lucas Eiermann, Florian Wirthmüller, Kay Massow +2
Modern driver assistance systems as well as autonomous vehicles take their decisions based on local maps of the environment. These maps include, for example, surrounding moving obj…