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Laurent Kloeker
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2020 – today
- 2023
- [c8]Laurent Kloeker, Gregor Joeken, Lutz Eckstein:
Economic Analysis of Smart Roadside Infrastructure Sensors for Connected and Automated Mobility. ITSC 2023: 2331-2336 - [c7]Laurent Kloeker, Chenghua Liu, Chao Wei, Lutz Eckstein:
Framework for Quality Evaluation of Smart Roadside Infrastructure Sensors for Automated Driving Applications. IV 2023: 1-7 - [i7]Laurent Kloeker, Chenghua Liu, Chao Wei, Lutz Eckstein:
Framework for Quality Evaluation of Smart Roadside Infrastructure Sensors for Automated Driving Applications. CoRR abs/2304.07745 (2023) - 2022
- [c6]Laurent Kloeker
, Julian Quakernack, Bastian Lampe
, Lutz Eckstein:
Generic Approach to Optimized Placement of Smart Roadside Infrastructure Sensors Using 3D Digital Maps. ITSC 2022: 1311-1316 - [c5]Mohsen Vadidar, Ali Kariminezhad, Christian Mayr, Laurent Kloeker
, Lutz Eckstein:
Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object Detection. IV 2022: 367-374 - [i6]Mohsen Vadidar, Ali Kariminezhad, Christian Mayr, Laurent Kloeker
, Lutz Eckstein:
Robust Environment Perception for Automated Driving: A Unified Learning Pipeline for Visual-Infrared Object Detection. CoRR abs/2206.03943 (2022) - 2021
- [c4]Laurent Kloeker
, Tobias Moers, Lennart Vater, Adrian Zlocki, Lutz Eckstein:
Utilization and Potentials of Unmanned Aerial Vehicles (UAVs) in the Field of Automated Driving: A Survey. ICVISP 2021: 9-17 - [i5]Laurent Kloeker, Fabian Thomsen, Lutz Eckstein, Philip Trettner, Tim Elsner, Julius Nehring-Wirxel, Kersten Schuster, Leif Kobbelt, Michael Hoesch:
Highly accurate digital traffic recording as a basis for future mobility research: Methods and concepts of the research project HDV-Mess. CoRR abs/2106.04175 (2021) - [i4]Laurent Kloeker, Amarin Kloeker, Fabian Thomsen, Armin Erraji, Lutz Eckstein, Serge Lamberty, Adrian Fazekas, Eszter Kalló, Markus Oeser, Charlotte Fléchon, Jochen Lohmiller, Pascal Pfeiffer, Martin Sommer, Helen Winter:
Corridor for new mobility Aachen-Düsseldorf: Methods and concepts of the research project ACCorD. CoRR abs/2107.14048 (2021) - 2020
- [c3]Laurent Kloeker
, Christian Geller, Amarin Kloeker
, Lutz Eckstein:
High-Precision Digital Traffic Recording with Multi-LiDAR Infrastructure Sensor Setups*. ITSC 2020: 1-8 - [c2]Laurent Kloeker
, Christian Kotulla, Lutz Eckstein:
Real-Time Point Cloud Fusion of Multi-LiDAR Infrastructure Sensor Setups with Unknown Spatial Location and Orientation. ITSC 2020: 1-8 - [i3]Laurent Kloeker, Christian Geller, Amarin Kloeker, Lutz Eckstein:
High-Precision Digital Traffic Recording with Multi-LiDAR Infrastructure Sensor Setups. CoRR abs/2006.12140 (2020) - [i2]Laurent Kloeker, Christian Kotulla, Lutz Eckstein:
Real-Time Point Cloud Fusion of Multi-LiDAR Infrastructure Sensor Setups with Unknown Spatial Location and Orientation. CoRR abs/2008.00801 (2020)
2010 – 2019
- 2018
- [c1]Robert Krajewski, Julian Bock, Laurent Kloeker
, Lutz Eckstein:
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems. ITSC 2018: 2118-2125 - [i1]Robert Krajewski, Julian Bock, Laurent Kloeker, Lutz Eckstein:
The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systems. CoRR abs/1810.05642 (2018)
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