Research
Doctoral scholarships
In cooperation with companies, doctoral scholarships are awarded at irregular intervals, particularly in the field of radar technology. If you are about to complete your Master's degree and are interested in scientific work, I look forward to hearing from you by e-mail.
Publications
Conference paper
- Open publicationH. B. Swaminathan, A. Sommer, U. Iurgel, A. Becker, and M. Atzmüller, “Improving Deep Learning Change Detection in Automotive Radar Maps by Data Augmentation,” in 2024 25th International Radar Symposium, 2024, pp. 1–6.
- Open publicationH. B. Swaminathan, A. Sommer, A. Becker, and M. Atzmueller, “Spatial Change Detection Using Automotive Radar,” in 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), 2023, pp. 4066–4071.
- Open publicationL. Puccetti, A. Yasser, C. Rathgeber, A. Becker, and S. Hohmann, “Speed Tracking Control Using Model-Based Reinforcement Learning in a Real Vehicle,” in 2021 IEEE Intelligent Vehicles Symposium (IV), 2021, pp. 1213–1219.
Journal article
- Open publicationH. Bharathy Swaminathan, A. Sommer, U. Iurgel, A. Becker, and M. Atzmueller, “Comparative Analysis of Deep Learning-Based Feature Extractors for Change Detection in Automotive Radar Maps,” IEEE access : practical research, open solutions, vol. 13, pp. 130629–130637, 2025.
- Open publicationT. Fei, A. Becker, and M. Gardill, “Interference Mitigation in Automotive Radar Systems: A Current State Survey and Future Trends,” IEEE Transactions on Intelligent Transportation Systems, vol. 27, no. 1, pp. 53–80, 2025 [Online]. Available: https://ieeexplore.ieee.org/document/11241101
- Open publicationH. B. Swaminathan, A. Sommer, A. Becker, and M. Atzmueller, “Performance Evaluation of GNSS Position Augmentation Methods for Autonomous Vehicles in Urban Environments,” Sensors, vol. 22, no. 21, p. 8419, 2022.
- Open publicationT. Tran, A. Becker, and D. Grzechca, “Environment mapping using sensor fusion of 2d laser scanner and 3d ultrasonic sensor for a real mobile robot,” Sensors, no. 9, 2021.
- Open publicationK. Paszek, D. Grzechca, and A. Becker, “Design of the UWB Positioning System Simulator for LOS/NLOS Environments,” Sensors, 2021.
- Open publicationD. Grzechca, A. Ziebinski, K. Paszek, K. Hanzel, A. Giel, M. Czerny, and A. Becker, “How Accurate Can UWB and Dead Reckoning Positioning Systems Be? Comparison to SLAM Using the RPLidar System,” Sensors, 2020.
Teaching
Project and final theses
I offer numerous topics for student theses in the fields of environment perception, sensor technology, robotics and control engineering. Classical methods and methods from the field of machine learning are used. Please also have a look at Ilias(Opens in a new tab) .
Examples of completed theses (selection based on relevance for further work):
- NavSwarmMARL Multi-Agent Reinforcement Learning for Robotics Swarm Navigation with Sim2Real Transfer, Sachin Kumar, Master Thesis, 2026
- Object height classification with data from automotive ultrasonic sensors using AI/ML methods, Sebastian Rudolph, Master Thesis, 2025
- Bridging Real-World Data to Virtual Environments: Enhancing Data compatibility in ADAS Environmental Simulations, Ekaterina Bukharova, Master Thesis, 2024
- Simulation of ultrasonicsensors using carla simulator for automotive parking applications, Ramya Manjunath, Master Thesis, 2024
- NDT map based pose estimation for mobile platforms using Lidar and Radar sensors, Vignesh Somasundaram, Master Thesis, 2023