Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Internship / school internship
- Location
- Cologne
- Working Model
- Onsite
Job Summary
In this Master's thesis, you will focus on enhancing an automated race video analysis system by applying state-of-the-art computer vision methods for object and video analysis.
Job Technologies
Your role in the 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.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- 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.
Experience
- 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.
This text has been machine translated. Show original
What we offer
- Start date: Earliest 1st August 2026.
- Duration: Minimum of 6 months.
This text has been machine translated. Show original
Topics that you deal with on the job
Job Locations
This is your employer
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
- Company Size
- 50-249 Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Industry, Production
Master Thesis Computer Vision for Motorsport Video Analysis
- Location
- Cologne
- Working Model
- Onsite
- Diversity
- Open for all genders
- English Only
- English only required
