Master Thesis AI-Based Keypoint Refinement for Autonomous Driving
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Job Location:
Hildesheim - Germany
Monthly Salary:
Not Disclosed
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
- During your thesis you will research and develop advanced deep learning methods to improve keypoint matching accuracy for autonomous driving applications.
- You will design a unified neural network architecture that jointly addresses correspondence refinement outlier rejection and uncertainty estimation aiming to replace complex conventional post-processing chains.
- Furthermore you will investigate novel approaches to achieve sub-pixel precision and handle ambiguous image textures within the feature matching pipeline.
- You will implement and train these models focusing on efficiency and the potential for distilling the architecture into a fast real-time capable solution.
- Finally you will benchmark your approach against current state-of-the-art matchers (e.g. in Visual Odometry scenarios) to demonstrate improvements in robustness and accuracy.
Qualifications :
- Education: Master studies in the field of Computer Science Robotics Mathematics Physics or comparable
- Experience and Knowledge: strong background in Computer Vision and Deep Learning; proficiency in Python and PyTorch; specific knowledge of feature matching multi-view geometry or SLAM is highly desirable
- Personality and Working Practice: you excel at taking ownership of your research topic with a self-driven independent and structured approach developing your own creative ideas and engaging in mature professional technical discussions
- Work Routine: your on-site presence is required
- Enthusiasm: passionate about solving fundamental problems in geometric computer vision and AI
- Languages: very good in English
Additional Information :
Start: according to prior agreement
Duration: 6 months
Requirement for this thesis is the enrollment at university. Please attach your CV transcript of records examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.
Need further information about the job
Matthias Neuwirth-Trapp (Functional Department)
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Remote Work :
No
Employment Type :
Full-time
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Bosch first started in Vietnam with a representative office in 1994. Bosch has its main office in Ho Chi Minh City, with branch offices in Hanoi and Da Nang, and a Powertrain Solutions plant in the Dong Nai province to manufacture pushbelt for continuously variable transmissions (CVT) ... View more
