1 citations · 3 across the 8 of their papers we have counts for
8 papers
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…
Generation of Complex Road Networks Using a Simplified Logical Description for the Validation of Automated Vehicles
Daniel Becker, Fabian Ruß, Christian Geller +1
Simulation is a valuable building block for the verification and validation of automated driving functions (ADF). When simulating urban driving scenarios, simulation maps are one i…
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…
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…