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Prof. Dr. Andreas Becker

Professorship for Signal processing, machine learning and mobile robotics

Fast facts

Organizational unit
Information technology
Location & room
Campus Sonnenstraße SON-A, Room 619
Employee group
Teachers
Post
Vice Dean
Phone
+49 231 91129385
Fax
+49 231 91128183
E-mail
andreas.beckerfh-dortmundde

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

H. 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, Piscataway, NJ: IEEE, 2024, pp. 1–6. doi: 10.1109/radar58436.2024.10993649
Open publication
H. B. Swaminathan, A. Sommer, U. Iurgel, A. Becker, and M. Atzmüller, “Change Detection in Automotive Radar based Occupancy Maps using Siamese Networks,” in 2024 International Radar Symposium (IRS), Piscataway, NJ: IEEE, 2024, pp. 56–61. Available: https://ieeexplore.ieee.org/document/10644246
Open publication
H. 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), Piscataway, NJ: IEEE, 2023, pp. 4066–4071. doi: 10.1109/itsc57777.2023.10422608
Open publication
L. 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), Piscataway, NJ: IEEE, 2021, pp. 1213–1219. doi: 10.1109/iv48863.2021.9576031
Open publication

Journal article

H. 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, doi: 10.1109/access.2025.3591272
Open publication
T. 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, doi: 10.1109/tits.2025.3629041. Available: https://ieeexplore.ieee.org/document/11241101
Open publication
H. 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, doi: 10.3390/s22218419
Open publication
T. 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, doi: 10.3390/s21093184
Open publication
K. Paszek, D. Grzechca, and A. Becker, “Design of the UWB Positioning System Simulator for LOS/NLOS Environments,” Sensors, 2021, doi: 10.3390/s21144757
Open publication
D. Grzechca et al., “How Accurate Can UWB and Dead Reckoning Positioning Systems Be? Comparison to SLAM Using the RPLidar System,” Sensors, 2020, doi: 10.3390/s20133761
Open publication

Teaching

Project and final theses

I offer a wide range of topics for student theses in the fields of environmental perception, sensor technology, robotics, and control engineering. These projects utilize both traditional methods and machine learning techniques. Please feel free to check out Ilias(Opens in a new tab) .

Examples of completed theses (selected based on relevance to future work):

Radar Object Detection and Length Estimation Network Cross-Supervised by Camera and LiDAR, Tao Zhao, Master’s Thesis 2026
NavSwarmMARL Multi-Agent Reinforcement Learning for Robotics Swarm Navigation with Sim2Real Transfer, Sachin Kumar, Master’s Thesis, 2026
Object Height Classification Using Data from Automotive Ultrasonic Sensors via AI/ML Methods, Sebastian Rudolph, Master’s Thesis, 2025
Bridging Real-World Data to Virtual Environments: Enhancing Data Compatibility in ADAS Environmental Simulations, Ekaterina Bukharova, Master’s Thesis, 2024
Simulation of Ultrasonic Sensors Using the Carla Simulator for Automotive Parking Applications, Ramya Manjunath, Master’s Thesis, 2024
NDT Map-Based Pose Estimation for Mobile Platforms Using Lidar and Radar Sensors, Vignesh Somasundaram, Master’s Thesis, 2023