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2020 – today
- 2023
[c8]Clemens Schicktanz
, Lars Klitzke, Kay Gimm:
Microscopic Analysis of the Impact of Congestion on Traffic Safety and Efficiency at a Signalized Intersection: A Case Study. ITSC 2023: 2827-2834- 2022
- [c7]Lars Klitzke, Kay Gimm, Carsten Koch, Frank Köster:
Extraction and Analysis of Highway On-Ramp Merging Scenarios from Naturalistic Trajectory Data. ITSC 2022: 654-660 - 2021
- [i1]Lars Klitzke, Kay Gimm, Carsten Koch, Frank Köster:
Unsupervised Lane-Change Identification for On-Ramp Merge Analysis in Naturalistic Driving Data. CoRR abs/2104.05661 (2021) - 2020
- [c6]Lars Klitzke, Carsten Koch, Frank Köster:
Identification of Lane-Change Maneuvers in Real-World Drivings With Hidden Markov Model and Dynamic Time Warping. ITSC 2020: 1-7
2010 – 2019
- 2019
- [c5]Johannes Meyer, Lars Klitzke, Gerd von Cölln:
Probabilistic Geomagnetic Fingerprinting for Low-Power Orientation Estimation utilising Geometric Models. INDIN 2019: 1601-1606 - [c4]Lars Klitzke, Johannes Meyer, Tilman Leune, Carsten Koch, Frank Köster:
DAGMaR: A DAG-based Robust Road Membership Estimation Framework for Scenario Mining. IoTSMS 2019: 358-365 - [c3]Lars Klitzke, Carsten Koch, Andreas Haja, Frank Köster:
Vehicle Data Management System for Scenario-Based Validation of Automated Driving Functions. SMARTGREENS/VEHITS (Selected Papers) 2019: 342-362 - [c2]Lars Klitzke, Carsten Koch, Andreas Haja, Frank Köster:
Real-world Test Drive Vehicle Data Management System for Validation of Automated Driving Systems. VEHITS 2019: 171-180 - 2017
- [c1]Andreas Haja, Carsten Koch, Lars Klitzke:
The ADAS SWOT Analysis - A Strategy for Reducing Costs and Increasing Quality in ADAS Testing. VEHITS 2017: 320-325 - 2016
- [j1]Lars Klitzke, Carsten Koch:
Robust Object Detection for Video Surveillance Using Stereo Vision and Gaussian Mixture Model. J. WSCG 24(1): 9-18 (2016)
Coauthor Index
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