| 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 L Reiher, B Lampe, L Eckstein 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 88 | 2020 |
| UNICARagil-disruptive modular architectures for agile, automated vehicle concepts T Woopen, B Lampe, T Böddeker, L Eckstein, A Kampmann, B Alrifaee, ... Institute for Automotive Engineering, RWTH Aachen, 2018 | 78 | 2018 |
| Automation of the UNICARagil vehicles M Buchholz, F Gies, A Danzer, M Henning, C Hermann, M Herzog, ... 29th Aachen Colloquium Sustainable Mobility 2, 1531-1560, 2020 | 21 | 2020 |
| Collective driving-cloud services for automated vehicles in unicaragil B Lampe, T Woopen, L Eckstein 28th Aachen Colloquium. Aachen, Germany, 2019 | 19 | 2019 |
| A simulation-based end-to-end learning framework for evidential occupancy grid mapping R Van Kempen, B Lampe, T Woopen, L Eckstein 2021 IEEE Intelligent Vehicles Symposium (IV), 934-939, 2021 | 10 | 2021 |
| Reducing uncertainty by fusing dynamic occupancy grid maps in a cloud-based collective environment model B Lampe, R van Kempen, T Woopen, A Kampmann, B Alrifaee, L Eckstein 2020 IEEE Intelligent Vehicles Symposium (IV), 837-843, 2020 | 9 | 2020 |
| v. Hinüber, Edgar, Siepenkötter, Norbert, 2020. Automation of the UNICARagil Vehicles M Buchholz, F Gies, A Danzer, M Henning, C Hermann, M Herzog, ... 29th Aachen Colloquium Sustainable Mobility, 2020 | 6 | 2020 |
| Enabling connectivity for automated mobility: A novel mqtt-based interface evaluated in a 5G case study on edge-cloud lidar object detection L Reiher, B Lampe, T Woopen, R Van Kempen, T Beemelmanns, ... 2022 International Conference on Electrical, Computer, Communications and …, 2022 | 5 | 2022 |
| Generic approach to optimized placement of smart roadside infrastructure sensors using 3d digital maps L Kloeker, J Quakernack, B Lampe, L Eckstein 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 5 | 2022 |
| Agile Requirement Engineering for a Cloud System for Automated and Networked Vehicles A Mokhtarian, A Kampmann, B Alrifaee, S Kowalewski, B Lampe, ... 2nd International Workshop on Autonomous Systems Design (ASD 2020), 2020 | 5 | 2020 |
| RobotKube: Orchestrating Large-Scale Cooperative Multi-Robot Systems with Kubernetes and ROS B Lampe, L Reiher, L Zanger, T Woopen, R van Kempen, L Eckstein 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 4 | 2023 |
| Erstellung von automatisch gelabelten, semi-künstlichen und künstlichen Daten PN Gronerth, B Lampe, L Eckstein ATZextra 23 (4), 26-29, 2018 | 4 | 2018 |
| Cloud intelligence and collective learning for automated and connected driving B Lampe, L Reiher, T Woopen, L Eckstein ATZelectronics worldwide 17 (11), 44-47, 2022 | 2 | 2022 |
| 3D Point Cloud Compression with Recurrent Neural Network and Image Compression Methods T Beemelmanns, Y Tao, B Lampe, L Reiher, R van Kempen, T Woopen, ... 2022 IEEE Intelligent Vehicles Symposium (IV), 345-351, 2022 | 2 | 2022 |
| UNICARagil-Disruptive Modular Architectures for Agile L Eckstein, B Lampe, T Bödekker Automated Vehicle Concepts, 0 | 2 | |
| Combined Registration and Fusion of Evidential Occupancy Grid Maps for Live Digital Twins of Traffic R van Kempen, LA Heidrich, B Lampe, T Woopen, L Eckstein 2023 IEEE Intelligent Vehicles Symposium (IV), 1-6, 2023 | 1 | 2023 |
| AUTOtech. agil: Architecture and Technologies for Orchestrating Automotive Agility R van Kempen, B Lampe, M Leuffen, L Wirtz, F Thomsen, G Bilkei-Gorzo, ... Universitätsbibliothek der RWTH Aachen, 2023 | 1 | 2023 |
| Data-Driven Occupancy Grid Mapping using Synthetic and Real-World Data R van Kempen, B Lampe, L Reiher, T Woopen, T Beemelmanns, ... 2022 International Conference on Electrical, Computer, Communications and …, 2022 | 1 | 2022 |
| CARLOS: An Open, Modular, and Scalable Simulation Framework for the Development and Testing of Software for C-ITS C Geller, B Haas, A Kloeker, J Hermens, B Lampe, L Eckstein arXiv preprint arXiv:2404.01836, 2024 | | 2024 |
| Enhancing Lidar-based Object Detection in Adverse Weather using Offset Sequences in Time R Van Kempen, T Rehbronn, A Jose, J Stegmaier, B Lampe, T Woopen, ... 2023 International Conference on Electrical, Computer and Energy …, 2023 | | 2023 |
Lutz EcksteinLeiter des Instituts für Kraftfahrzeuge (ika), RWTH Aachen UniversityBestätigte E-Mail-Adresse bei ika.rwth-aachen.de
