10 citations · 12 across the 5 of their papers we have counts for
5 papers
3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods
Till Beemelmanns, Yuchen Tao, Bastian Lampe +4
Storing and transmitting LiDAR point cloud data is essential for many AV applications, such as training data collection, remote control, cloud services or SLAM. However, due to the…
Enhancing Lidar-based Object Detection in Adverse Weather using Offset Sequences in Time
Raphael van Kempen, Tim Rehbronn, Abin Jose +4
Automated vehicles require an accurate perception of their surroundings for safe and efficient driving. Lidar-based object detection is a widely used method for environment percept…
RobotKube: Orchestrating Large-Scale Cooperative Multi-Robot Systems with Kubernetes and ROS
Bastian Lampe, Lennart Reiher, Lukas Zanger +3
Modern cyber-physical systems (CPS) such as Cooperative Intelligent Transport Systems (C-ITS) are increasingly defined by the software which operates these systems. In practice, mi…
Combined Registration and Fusion of Evidential Occupancy Grid Maps for Live Digital Twins of Traffic
Raphael van Kempen, Laurenz Adrian Heidrich, Bastian Lampe +2
Cooperation of automated vehicles (AVs) can improve safety, efficiency and comfort in traffic. Digital twins of Cooperative Intelligent Transport Systems (C-ITS) play an important…
A Simulation-based End-to-End Learning Framework for Evidential Occupancy Grid Mapping
Raphael van Kempen, Bastian Lampe, Timo Woopen +1
Evidential occupancy grid maps (OGMs) are a popular representation of the environment of automated vehicles. Inverse sensor models (ISMs) are used to compute OGMs from sensor data…