70 citations · 121 across the 29 of their papers we have counts for
30 papers
Open-Source Tool Based Framework for Automated Performance Evaluation of an AD Function
Daniel Becker, Sanath Konthala, Lutz Eckstein
As automation in the field of automated driving (AD) progresses, ensuring the safety and functionality of AD functions (ADFs) becomes crucial. Virtual scenario-based testing has em…
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…
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…
Simulative Performance Analysis of an AD Function with Road Network Variation
Daniel Becker, Guido Küppers, Lutz Eckstein
Automated driving functions (ADFs) have become increasingly popular in recent years. However, their safety must be assured. Thus, the verification and validation of these functions…
Economic Analysis of Smart Roadside Infrastructure Sensors for Connected and Automated Mobility
Laurent Kloeker, Gregor Joeken, Lutz Eckstein
Smart roadside infrastructure sensors in the form of intelligent transportation system stations (ITS-Ss) are increasingly deployed worldwide at relevant traffic nodes. The resultin…
Acquire Driving Scenarios Efficiently: A Framework for Prospective Assessment of Cost-Optimal Scenario Acquisition
Christoph Glasmacher, Michael Schuldes, Hendrik Weber +2
Scenario-based testing is becoming increasingly important in safety assurance for automated driving. However, comprehensive and sufficiently complete coverage of the scenario space…