N. N.

  • Karlsruher Institut für Technologie (KIT)
    Institut für Automation und angewandte Informatik (IAI)

    Hermann-von-Helmholtz-Platz 1
    76344 Eggenstein-Leopoldshafen

    Fax: +49 721 608 22602
    Gebäude-Nr.: 445 / 449 / 668


A Novel Approach to Light Detection and Ranging Sensor Placement for Autonomous Driving Vehicles Using Deep Deterministic Policy Gradient Algorithm
Berens, F.; Ambs, J.; Elser, S.; Reischl, M.
2024. SAE international journal of connected and automated vehicles, 7 (3), Art.Nr.12–07. doi:10.4271/12-07-03-0019
A Review of Adaptable Conventional Image Processing Pipelines and Deep Learning on limited Datasets
Münke, F. R.; Schützke, J.; Berens, F.; Reischl, M.
2024. Machine vision and applications, 35, Article no: 25. doi:10.1007/s00138-023-01501-3
MEMS LiDAR Sensor Simulation for Autonomous Driving: A Novel Framework Using Open-source Tools
Berens, F.; Elser, S.; Reischl, M.
2023. ISR Europe 2023: 56th International Symposium on Robotics, in cooperation with Fraunhofer IPA, Stuttgart, 26th-27th September 2023, VDE Verlag
Genetic Algorithm for the Optimal LiDAR Sensor Configuration on a Vehicle
Berens, F.; Elser, S.; Reischl, M.
2022. IEEE sensors journal, 22 (3), 2735–2743. doi:10.1109/JSEN.2021.3136362
Evaluation of four point cloud similarity measures for the use in autonomous driving
Berens, F.; Elser, S.; Reischl, M.
2021. Automatisierungstechnik, 69 (6), 499–510. doi:10.1515/auto-2020-0140
Transforming Lidar Point Cloud Characteristics Between Different Datasets Using Image-to-Image Translation
Berens, F.; Knapp, Y.; Reischl, M.; Elser, S. T.
2020. Proceedings - 30. Workshop Computational Intelligence : Berlin, 26. - 27. November 2020, 73–86, KIT Scientific Publishing