Master Thesis supporting development and evaluation of visual localization techniques in autonomous driving at BMW. Analyzing state-of-the-art methods and contributing research to advance map products.
Responsibilities
Support the development and evaluation of learning-based methods for map-based visual localization in autonomous driving.
Help review state-of-the-art visual localization techniques and analyze the impact of diverse map components and input modalities.
Contribute research findings directly to the advancement of map products.
Drive projects with regular feedback from a mentor and receive dedicated support from the expert team.
Requirements
Studies in computer science, artificial intelligence, robotics, or a related technical field (Master's program).
Knowledge in computer vision and deep learning, familiar with modern vision transformers and scene representations.
High proficiency in programming and debugging with Python, PyTorch, and OpenCV.
Prior project experience in computer vision or autonomous driving perception algorithms is a plus.
Business-fluent English skills; German proficiency is a plus.
Benefits
Comprehensive mentoring & onboarding.
Personal & professional development.
Flexible working hours.
Mobile work.
Attractive & fair compensation.
Apartments for students (subject to availability & only at the Munich location).
Job title
Master Thesis – Precise Visual Localization in Map for Autonomous Driving
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