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Master Thesis - End-to-End 3D Reconstruction for Non-Pinhole Automotive Cameras (m/f/d)
Spleenlab GmbH —Saalburg-Ebersdorf
This thesis evaluates modern end-to-end 3D reconstruction models for automotive multi-camera systems with non-pinhole camera models.

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Master Thesis - Depth-Augmented COLMAP for Sensor-to-Sensor Extrinsic Calibration (m/f/d)

Spleenlab GmbH
Saalburg-Ebersdorf

Jetzt bewerben

Details zur Stelle

Vollzeit

Leistungen

Firmenevents
Flexible Arbeitszeiten

Vollständige Stellenbeschreibung

Full-time

Saalburg-Ebersdorf | Jena

Software Engineering

Introductory information

This thesis investigates how depth information can be integrated as an additional geometric constraint into a COLMAP-based calibration pipeline. The goal is to improve camera-to-camera and camera-to-LiDAR extrinsic calibration by combining image-based reconstruction with depth consistency. A key part of the work is the design and evaluation of a custom loss function for depth-augmented calibration.

Depending on the achieved results, this thesis may contribute to a scientific publication in computer vision, robotics, or autonomous systems.

Your Role

Develop and evaluate a depth-augmented COLMAP-based calibration approach.
Design a geometric loss that combines reprojection error with depth consistency.
Compare the method against standard image-only calibration.
Evaluate robustness under challenging conditions such as low texture, small overlap, dynamic objects, or noisy depth data.

At a minimum we’d like you to have

Good programming skills in C++ or Python, and willingness to work with both.
Interest in computer vision, 3D reconstruction, and sensor calibration.
Familiarity with Linux-based development environments.
Basic understanding of camera geometry.

It’s preferred if you have

First experience with COLMAP or similar 3D reconstruction tools.
Basic experience with OpenCV, point clouds, or numerical optimization.
Interest in multi-sensor calibration and real-world sensor data.

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]

Jetzt bewerben

Erweiterte Suche

python Jobs in hof

Master Thesis - Depth-Augmented COLMAP for Sensor-to-Sensor Extrinsic Calibration (m/f/d)

Master Thesis - End-to-End 3D Reconstruction for Non-Pinhole Automotive Cameras (m/f/d)

Softwareentwickler/Physiker (m/w/d) für Mess- & Geräteentwicklung

Full Stack Entwickler - AI Integration (all genders)

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

PhD Candidate – Machine Learning in Computer Vision (m/f/d)

Computer Vision Engineer (m/f/d)

Full Stack, AI & Multi Agent Systems Engineering Lead (all genders)

Software Developer (m/f/d)

Working Students / Master Theses / Interns (m/f/d)

Mainframe System Programer (all genders)

Dual study program – Practical/Technical Informatics – Bachelor of Engineering (m/f/d)

DevOps Engineer

Linux System Engineer

Azubi Fachinformatiker/-in – Anwendungsentwicklung 2027