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Master Thesis AI-Based Keypoint Refinement for Autonomous Driving(m/w/x)
Designing unified neural network architectures for keypoint refinement in autonomous driving at a developer of advanced automotive technologies. Strong Computer Vision and Deep Learning background, with Python and PyTorch proficiency required. Self-driven research project, with dedicated mentorship for thesis completion.
Requirements
- Master studies in Computer Science, Robotics, Mathematics, Physics or comparable
- Strong background in Computer Vision and Deep Learning
- Proficiency in Python and PyTorch
- Knowledge of feature matching, multi-view geometry, or SLAM (highly desirable)
- Ownership of research with self-driven, independent, structured approach
- Development of creative ideas and professional technical discussion skills
- On-site presence
- Passion for solving geometric computer vision and AI problems
- Very good English skills
- Enrollment at university
Tasks
- Research and develop deep learning methods
- Improve keypoint matching for autonomous driving
- Design a unified neural network architecture
- Address correspondence refinement and outlier rejection
- Integrate uncertainty estimation into the model
- Investigate sub-pixel precision and texture ambiguity
- Implement and train efficient deep learning models
- Distill architectures for real-time capability
- Benchmark performance against state-of-the-art matchers
- Demonstrate improvements in Visual Odometry scenarios
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- SLAM
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Master Thesis AI-Based Keypoint Refinement for Autonomous Driving(m/w/x)
Designing unified neural network architectures for keypoint refinement in autonomous driving at a developer of advanced automotive technologies. Strong Computer Vision and Deep Learning background, with Python and PyTorch proficiency required. Self-driven research project, with dedicated mentorship for thesis completion.
Requirements
- Master studies in Computer Science, Robotics, Mathematics, Physics or comparable
- Strong background in Computer Vision and Deep Learning
- Proficiency in Python and PyTorch
- Knowledge of feature matching, multi-view geometry, or SLAM (highly desirable)
- Ownership of research with self-driven, independent, structured approach
- Development of creative ideas and professional technical discussion skills
- On-site presence
- Passion for solving geometric computer vision and AI problems
- Very good English skills
- Enrollment at university
Tasks
- Research and develop deep learning methods
- Improve keypoint matching for autonomous driving
- Design a unified neural network architecture
- Address correspondence refinement and outlier rejection
- Integrate uncertainty estimation into the model
- Investigate sub-pixel precision and texture ambiguity
- Implement and train efficient deep learning models
- Distill architectures for real-time capability
- Benchmark performance against state-of-the-art matchers
- Demonstrate improvements in Visual Odometry scenarios
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- SLAM
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Bosch Group
Industry
Engineering
Description
Das Unternehmen entwickelt hochwertige Technologien und Dienstleistungen, die das Leben der Menschen verbessern.
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