1 citations · 2 across the 4 of their papers we have counts for
4 papers
Data-Driven Occupancy Grid Mapping using Synthetic and Real-World Data
Raphael van Kempen, Bastian Lampe, Lennart Reiher +3
In perception tasks of automated vehicles (AVs) data-driven have often outperformed conventional approaches. This motivated us to develop a data-driven methodology to compute occup…
Enabling Connectivity for Automated Mobility: A Novel MQTT-based Interface Evaluated in a 5G Case Study on Edge-Cloud Lidar Object Detection
Lennart Reiher, Bastian Lampe, Timo Woopen +3
Enabling secure and reliable high-bandwidth lowlatency connectivity between automated vehicles and external servers, intelligent infrastructure, and other road users is a central s…
A Sim2Real Deep Learning Approach for the Transformation of Images from Multiple Vehicle-Mounted Cameras to a Semantically Segmented Image in Bird's Eye View
Lennart Reiher, Bastian Lampe, Lutz Eckstein
Accurate environment perception is essential for automated driving. When using monocular cameras, the distance estimation of elements in the environment poses a major challenge. Di…
Reducing Uncertainty by Fusing Dynamic Occupancy Grid Maps in a Cloud-based Collective Environment Model
Bastian Lampe, Raphael van Kempen, Timo Woopen +3
Accurate environment perception is essential for automated vehicles. Since occlusions and inaccuracies regularly occur, the exchange and combination of perception data of multiple…