| Quantifying the Simulation–Reality Gap for Deep Learning-Based Drone Detection TR Dieter, A Weinmann, S Jäger, E Brucherseifer Electronics 12 (10), 2197, 2023 | 5 | 2023 |
| Generating synthetic data for deep learning-based drone detection T Dieter, A Weinmann, E Brucherseifer AIP Conference Proceedings 2939 (1), 2023 | 4 | 2023 |
| Evaluation of the Explanatory Power Of Layer-wise Relevance Propagation using Adversarial Examples TR Dieter, H Zisgen Neural Processing Letters 55 (7), 8531-8550, 2023 | 3 | 2023 |
| YOLO-FEDER FusionNet: A Novel Deep Learning Architecture for Drone Detection TR Lenhard, A Weinmann, S Jäger, T Koch 2024 IEEE International Conference on Image Processing (ICIP), 2299-2305, 2024 | 1 | 2024 |
| SynDroneVision: A Synthetic Dataset for Image-Based Drone Detection TR Lenhard, A Weinmann, K Franke, T Koch arXiv preprint arXiv:2411.05633, 2024 | | 2024 |
| Automated Generation Of Urban Digital Shadows Using Open Data S Cao, K Franke, T Koch, T Lenhard 2024 Annual Modeling and Simulation Conference (ANNSIM), 1-13, 2024 | | 2024 |
Andreas WeinmannHochschule Darmstadt在 tum.de 的电子邮件经过验证
Andreas WeinmannHochschule Darmstadt在 tum.de 的电子邮件经过验证