Title: Segmentation and Classification Machine Learning Techniques Applied to Automotive Radar Data.
Abstract: By accumulating detections from multiple radar cycles, generated a rich point cloud of the environment. Applied image processing and machine learning techniques to extract information about small or uniquely shaped objects (e.g., infrastructure, traffic lights, Europallets) not identifiable by mainstream radar algorithms.
Additionally, the codebase complies with Failure Mode and Effects Analysis (FMEA) standards.
Supervisors: Professor Thomas Brox, Dr. Anastasios Deligiannis.
Technology: Python, TensorFlow, PyTorch, RAT Tool, Git.
I am seeking a full-time position to apply my skills and expand my knowledge through real-world projects.
Discover other experts with similar qualifications and experience
2025 © FRATCH.IO GmbH. All rights reserved.