Prof. Dr. rer. nat. Stefan Elser
| Opening hours | See weblinks below |
|---|---|
| Phone | |
| stefan.elser@rwu.de | |
| Web links | |
| Room | H 231 |
| On campus |
Building H (main building)
Doggenriedstrasse 70
88250 Weingarten |
| Postal address |
RWU Hochschule Ravensburg-Weingarten University of Applied Sciences Prof. Dr. rer. nat. Stefan Elser P.O. Box 30 22
88216 Weingarten Germany |
Focus areas:
Object recognition, sensor fusion
Publications:
Berens, F., Koschinski, Y., Badami, M. K., Geimer, M., Elser, S., & Reischl, M. (2024). Adaptive Training for Robust Object Detection in Autonomous Driving Environments. IEEE Transactions on Intelligent Vehicles.
Müller, T., Schmähling, T., Elser, S., & Eberhardt, J. (2024). Deep Learning for Generating Time-of-Flight Camera Artifacts. Journal of Imaging, 10(10), 246.
Schmähling, T., Müller, T., Eberhardt, J., & Elser, S. (2024). Simultaneous Stereo Matching and Confidence Estimation Network. Journal of Imaging, 10(8), 198.
Berens, F., Ambs, J., Elser, S., & Reischl, M. (2024). A Novel Approach to Light Detection and Ranging Sensor Placement for Autonomous Driving Vehicles Using Deep Deterministic Policy Gradient Algorithm. SAE International Journal of Connected and Automated Vehicles, 7(12-07-03-0019).
Agrawal, A., Müller, T., Schmähling, T., Elser, S., & Eberhardt, J. (2023). RWU3D: Real World ToF and Stereo Dataset with High Quality Ground Truth. In 2023 Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA) (pp. 1-6). IEEE.
Berens, F., Elser, S., & Reischl, M. (2023). MEMS LiDAR Sensor Simulation for Autonomous Driving: A Novel Framework Using Open-source Tools. In ISR Europe 2023; 56th International Symposium on Robotics (pp. 298-303). VDE.
Rettenberger, L., Schilling, M., Elser, S., Böhland, M., & Reischl, M. (2023). Self-Supervised Learning for Annotation Efficient Biomedical Image Segmentation. IEEE Transactions on Biomedical Engineering. (Early Access)
Berens, F., Elser, S., & Reischl, M. (2021). Evaluation of four point cloud similarity measures for the use in autonomous driving. at-Automatisierungstechnik, 69 (6), 499-510.
Berens, F., Elser, S., & Reischl, M. (2021). Genetic Algorithm for the Optimal LiDAR Sensor Configuration on a Vehicle. IEEE Sensors Journal, 22 (3), 2735-2743.
Berens, F., Knapp, Y., Reischl, M., & Elser, S. (2020, November). Transforming LiDAR Point Cloud Characteristics between different Datasets using Image-to-Image Translation. In PROCEEDINGS 30th WORKSHOP COMPUTATIONAL INTELLIGENCE (Vol. 26, p. 73 - 87).
Schutera, M., Elser, S., Abhau, J., Mikut, R., & Reischl, M. (2019). Strategies for supplementing recurrent neural network training for spatio-temporal prediction. at-Automatisierungstechnik, 67 (7), 545-556.