| Lane-level map-matching based on optimization J Rabe, M Meinke, M Necker, C Stiller 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 25 | 2016 |
| Demonstrating Self-Learning Algorithm Adaptivity in a Hardware-Oblivious Database Engine. M Heimel, F Haase, M Meinke, S Breß, M Saecker, V Markl EDBT, 616-619, 2014 | 5 | 2014 |
| SLPC: A VRNN-based approach for stochastic lidar prediction and completion in autonomous driving G Eskandar, A Braun, M Meinke, K Armanious, B Yang 2021 29th European Signal Processing Conference (EUSIPCO), 721-725, 2021 | 2 | 2021 |
| Floxels: Fast Unsupervised Voxel Based Scene Flow Estimation DT Hoffmann, SH Raza, H Jiang, D Tananaev, S Klingenhoefer, ... arXiv preprint arXiv:2503.04718, 2025 | | 2025 |
| Method and system for determining the ground surface using LiDAR data M Meinke DE Patent DE102023201110A1, 2024 | | 2024 |
| Method and device for the recognition of blooming in a lidar measurement M Meinke, S Buck US Patent US20230122788A1, 2023 | | 2023 |
| Method and apparatus for detecting surroundings, and vehicle with such an apparatus M Schaefer, M Gressmann, E Helmuth, P Lehner, M Meinke US Patent US-11443529-B2, 2022 | | 2022 |
| Method for generating digital image pairs as training data for neural networks M Meinke US Patent US-11321815-B2, 2022 | | 2022 |
| Determination of depth maps from radar data and/or lidar data M Meinke, GBF Eskandar, A Braun DE Patent DE102021201168A1, 2022 | | 2022 |
| Method for the determination of 3D point correspondences in lidar measurements M Schaefer, Manuel, Meinke DE Patent DE102020001345A1, 2021 | | 2021 |