Job
- Level
- Junior
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Praktikum / Schulpraktikum
- Ort
- Köln
- Arbeitsmodell
- Onsite
Job Zusammenfassung
In dieser Masterarbeit beschäftigst du dich mit der Verbesserung eines automatisierten Videoanalyse-Systems für Motorsport-Videos, indem du moderne Computer Vision-Methoden zur Objekt- und Videoanalyse anwendest.
Job Technologien
Deine Rolle im Team
- At Toyota Racing, we are continuously advancing the use of AI and computer vision to unlock insights from complex race environments.
- We offer an exciting Master's thesis opportunity focused on state-of-the-art computer vision methods for analysing race video data in the FIA World Endurance Championship (WEC).
- The goal of this thesis is to enhance an existing automated race-video analysis system by improving its robustness, accuracy, and real-world performance using modern deep learning approaches.
- During WEC races, large volumes of video data are generated from multiple cameras and perspectives.
- These videos contain valuable information about vehicle positions, movements, and interactions within a highly dynamic environment.
- Your work will focus on transforming this raw video data into structured and actionable insights by improving current computer vision models.
- Key tasks include: Reviewing and selecting state-of-the-art object detection and video analysis methods, Designing and implementing improvements to an existing baseline model, Enhancing robustness against real-world challenges such as: Occlusions, Lighting variability, Complex camera perspectives, Visually similar vehicles, Evaluating performance improvements using objective metrics, Generating structured outputs (e.g. vehicle detection and relative positioning) for further analysis, Documenting findings, limitations, and recommendations for future development.
Unsere Erwartungen an dich
Qualifikationen
- Master's student in Computer Science, Engineering, Data Science, Mathematics, Physics, or a related field.
- Basic understanding of object detection, image processing, or video analysis.
- Strong analytical mindset and ability to evaluate models using objective metrics.
- Interest in motorsport and applied AI systems is beneficial.
Erfahrung
- Hands-on experience with machine learning and computer vision in Python.
- Experience with at least one deep learning framework (preferably PyTorch).
- Experience with OpenCV, YOLO-style models, tracking, segmentation, or data annotation is a plus.
Unser Angebot
- Start date: Earliest 1st August 2026.
- Duration: Minimum of 6 months.
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
TOYOTA GAZOO Racing Europe
As a subsidiary company and works motorsport team of TOYOTA Motor Corporation in Japan, TOYOTA GAZOO Racing Europe (TGR-E) is a centre of high-performance design, development and production for motorsport and automotive. Based in Cologne, Germany since 1979 the company was originally known as Andersson Motorsport GmbH and latterly TOYOTA Motorsport GmbH (TMG), with a long-standing history in motorsport, in rally, endurance and Formula 1.
Description
- Unternehmensgröße
- 50-249 Employees
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Industrie, Produktion
Master Thesis Computer Vision for Motorsport Video Analysis
- Ort
- Köln
- Arbeitsmodell
- Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
