With your broad know-how in the areas of computer vision and multi-view geometry, you will develop solutions based on LiDAR data in assisted and automated driving with a focus on online calibration, object recognition, object classification, lane detection and self-movement.
You know the state of the art and combine the underlying processes with your own ideas to create optimal solutions for the requirements of complex series products.
In addition to the algorithmic challenges, software engineering using state-of-the-art methods is your second passion. When implementing your algorithms in modern C or Python, you apply your knowledge of clean code and clean architecture and use various tools to efficiently create excellent and sustainable code. Your suggestions to further improve our code base and development methodology are always welcome.
With your ideas and suggestions, you contribute to the continuous improvement of team performance and teamwork
Experience and know-how\: Expert knowledge in geometric computer vision or related areas and in mathematical methods (non-linear optimization, numerics, linear algebra), excellent knowledge of large-scale C software engineering, experience with Python, cmake, task-related specialization on Examples in the context of a doctorate are an advantage
Practical experience and knowledge in creating and using neural networks, deep learning and machine learning