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Bachelor Thesis - Benchmarking Reconstruction Pipelines for Camera-to-Camera Calibration (m/f/d)

Spleenlab17 hours agoWorking Student
On-siteEnglish requiredTechAI, ML & Data Science

Required skills

LinuxImage processingComputer visionPythonCamera calibrationCOLMAP3D reconstruction

Job description

Spleenlab posted this role. Below, we break down what it means for a working student in Saalburg-Ebersdorf: your weekly hours, take-home pay and visa limits. You can also open ChatGPT or Claude with a ready-made prompt to tailor your CV, check your fit, draft a cover letter or prep for the interview.

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Bachelor Thesis - Benchmarking Reconstruction Pipelines for Camera-to-Camera Calibration (m/f/d)

Full-time

Saalburg-Ebersdorf | Jena

Software Engineering

Introductory information

This thesis compares classical and learning-based 3D reconstruction pipelines for camera-to-camera extrinsic calibration on vehicle data. COLMAP will serve as the classical baseline, while selected learned reconstruction methods can be evaluated as alternatives. The goal is to identify which methods are suitable for different camera setups, environments, and recording conditions.

Your Role

  • Prepare controlled calibration recordings and real-world vehicle datasets for evaluation.
  • Run COLMAP and selected learned reconstruction pipelines.
  • Compare calibration accuracy, robustness, and failure cases.
  • Analyze the influence of texture, camera overlap, lighting, and dynamic objects.
  • Document practical limitations and provide recommendations for future calibration workflows.

At a minimum we’d like you to have

  • Good programming skills in Python.
  • Interest in computer vision and automated driving.
  • Familiarity with Linux-based development environments.
  • Basic understanding of cameras and image processing.

It’s preferred if you have

  • First experience with COLMAP or similar 3D reconstruction tools.
  • Interest in experimental evaluation and benchmarking.
  • Basic knowledge of camera calibration or 3D reconstruction.

About

Are you ready to redefine the future of transportation across all domains? At Spleenlab, we're building the safety backbone for autonomous movement, ensuring people and things can navigate the world with confidence. Our expertise spans self-driving cars, trucks, maritime vessels, UAVs, air taxis, helicopters, and traditional aircraft.

We specialize in creating cutting-edge AI perception software powered by machine learning, specifically designed for safety-critical autonomous systems. This isn't just about code; it's about enabling a safer, more efficient tomorrow across land, air, and sea.

As part of our dynamic and interdisciplinary team, you'll work alongside recognized AI leaders, contribute to groundbreaking projects, and directly influence the next generation of autonomous mobility. If you're an ambitious AI professional eager to make a real difference, we want to hear from you.

Benefits

  • Work-Life-Balance: Flexible working hours and mobile working options.
  • Ergonomic Workstations: Equipped with height-adjustable desks and ergonomic office chairs.
  • Company Events: Regular team events, meet & greets, and an annual Christmas party as integral parts of our company culture.
  • Free Drinks: Enjoy complimentary coffee, tea, and water to keep you refreshed throughout the day.

Your Next Opportunity Starts Here

At Spleenlab, we don’t just accept difference – we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity. We consider all qualified applicants, in accordance with the legal requirements. If you have a disability or special need that requires accommodation, please let us know.

Please send your CV and accompanying material directly to [email protected]

Apply now

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Working student essentials

What this Tech working student role in Saalburg-Ebersdorf means for you: the weekly-hours rules, the social-contribution perks, and what international students should check before applying.

Weekly hours

Working students may work up to 20 hours a week during the semester and full-time during the breaks. Staying within this keeps your student status and the Werkstudent benefits.

Working student rules

Social contributions

Under the Werkstudentenprivileg you're exempt from health, care and unemployment insurance contributions — only pension insurance applies. That leaves more net pay than a regular job.

Check your insurance

International students

Non-EU students can work 140 full or 280 half days per year (raised from 120/240 in March 2024). A working student contract usually fits within this — confirm the exact limits printed on your residence permit.

Studying in Germany

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