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Master Thesis AI-Based Keypoint Refinement for Autonomous Driving(m/w/x)
Description
You will advance autonomous driving by developing unified neural networks for keypoint refinement, focusing on transforming complex research into efficient, real-time deep learning solutions.
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Upload your CV and Nejo AI will find matching job offers for you.
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
Education
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
Tools & Technologies
Languages
English – Business Fluent
- KeenfinityFull-timeWorking StudentOn-siteHildesheim
- Bosch Group
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Master Thesis AI-Based Keypoint Refinement for Autonomous Driving(m/w/x)
The AI Job Search Engine
Description
You will advance autonomous driving by developing unified neural networks for keypoint refinement, focusing on transforming complex research into efficient, real-time deep learning solutions.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Education
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
Tools & Technologies
Languages
English – Business Fluent
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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