We are looking for an intern for an immediate start and at least 4 months to support R&D activities in the field of radar tracking.
360° Radar object tracking is a key module of highly automated driving. While high-resolution Radar allows to represent the environment much more accurately, the amount of data is challenging for classical Radar multi-target tracking paradigms.
To help design new Radar tracking strategies, the student will investigate direct object detection on raw radar data, especially using clustering principles.
- Design clustering algorithms and investigation of new target detection strategies.
- Implementation in C++, Matlab or Python
- Testing on real data from prototype cars
- If time permits, implementation and test in real time in the car
- If time permits, work on multi-target tracking algorithms
- Student (m/f) in electrical Engineering, Computer science or similar programs
- Comfortable with either C++, Matlab or Python
- General knowledge in Applied Mathematics, Machine learning, Statistics and Probabilities
- Exposure to clustering principles (e.g. Hierarchical clustering, HDBSCAN, EM) is appreciated
- Exposure to parametric estimation and / or optimization (e.g. least squares, RANSAC) is appreciated
- Exposure to Bayesian recursive estimation (e.g. Kalman Filters, Particle Filters) is appreciated
- Exposure to ADAS and Radar principles are appreciated
- Good spoken and written English, German language skills desirable
- Creative, autonomous and structured
Go on! Apply now and get on board!