| 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 | 92 | 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 |
| 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 |
| 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 | 3 | 2022 |
| 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 | 2 | 2022 |
| 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 |
| V2AIX: A Multi-Modal Real-World Dataset of ETSI ITS V2X Messages in Public Road Traffic G Kueppers, JP Busch, L Reiher, L Eckstein arXiv preprint arXiv:2403.10221, 2024 | 1 | 2024 |
| Enabling the Deployment of Any-Scale Robotic Applications in Microservice-Based Service-Oriented Architectures through Automated Containerization JP Busch, L Reiher, L Eckstein arXiv preprint arXiv:2309.06611, 2023 | 1 | 2023 |
| Enabling the Deployment of Any-Scale Robotic Applications in Microservice Architectures through Automated Containerization JP Busch, L Reiher, L Eckstein arXiv e-prints, arXiv: 2309.06611, 2023 | 1 | 2023 |
| Cloud-Intelligenz und kollektives Lernen für das automatisierte und vernetzte Fahren B Lampe, L Reiher, T Woopen, L Eckstein ATZelektronik 17 (11), 44-47, 2022 | | 2022 |
