27 citations · 28 across the 8 of their papers we have counts for
8 papers
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…
Framework for Quality Evaluation of Smart Roadside Infrastructure Sensors for Automated Driving Applications
Laurent Kloeker, Chenghua Liu, Chao Wei +1
The use of smart roadside infrastructure sensors is highly relevant for future applications of connected and automated vehicles. External sensor technology in the form of intellige…
Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object Detection
Mohsen Vadidar, Ali Kariminezhad, Christian Mayr +2
The RGB complementary metal-oxidesemiconductor (CMOS) sensor works within the visible light spectrum. Therefore it is very sensitive to environmental light conditions. On the contr…
Corridor for new mobility Aachen-Düsseldorf: Methods and concepts of the research project ACCorD
Laurent Kloeker, Amarin Kloeker, Fabian Thomsen +11
With the Corridor for New Mobility Aachen - Düsseldorf, an integrated development environment is created, incorporating existing test capabilities, to systematically test and valid…
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…
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems
Robert Krajewski, Julian Bock, Laurent Kloeker +1
Scenario-based testing for the safety validation of highly automated vehicles is a promising approach that is being examined in research and industry. This approach heavily relies…