3 citations · 9 across the 15 of their papers we have counts for
8 papers · 1 filter
An Automated Analysis Framework for Trajectory Datasets
Christoph Glasmacher, Robert Krajewski, Lutz Eckstein
Trajectory datasets of road users have become more important in the last years for safety validation of highly automated vehicles. Several naturalistic trajectory datasets with eac…
Highly accurate digital traffic recording as a basis for future mobility research: Methods and concepts of the research project HDV-Mess
Laurent Kloeker, Fabian Thomsen, Lutz Eckstein +6
The research project HDV-Mess aims at a currently missing, but very crucial component for addressing important challenges in the field of connected and automated driving on public…
Real-Time Point Cloud Fusion of Multi-LiDAR Infrastructure Sensor Setups with Unknown Spatial Location and Orientation
Laurent Kloeker, Christian Kotulla, Lutz Eckstein
The use of infrastructure sensor technology for traffic detection has already been proven several times. However, extrinsic sensor calibration is still a challenge for the operator…
High-Precision Digital Traffic Recording with Multi-LiDAR Infrastructure Sensor Setups
Laurent Kloeker, Christian Geller, Amarin Kloeker +1
Large driving datasets are a key component in the current development and safeguarding of automated driving functions. Various methods can be used to collect such driving data reco…
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…
The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersections
Julian Bock, Robert Krajewski, Tobias Moers +3
Automated vehicles rely heavily on data-driven methods, especially for complex urban environments. Large datasets of real world measurement data in the form of road user trajectori…