Master's Thesis - Deep Learning-Based Seat Belt Recognition Using Instance Segmentation

Job-ID: IAV-S Vehicle Safety -22408

Master's Thesis - Deep Learning-Based Seat Belt Recognition Using Instance Segmentation

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Students   —  Thesis 

IAV S Gifhorn

This challenge awaits you:

IAV Fahrzeugsicherheit GmbH & Co. KG is a competent and reliable partner for the automotive industry in the field of vehicle safety. In order to be able to protect occupants in future vehicles in the event of accidents, vehicle safety must already have answers to tomorrow's questions today. New vehicles are equipped with an interior camera for vehicle occupant monitoring. This also enables the integration of other functions such as seat assignment and seat belt detection using image processing methods. To ensure that seat belt detection can also cover “misuse” cases, a generic deep learning method is to be used in this thesis to segment vehicle seats, seat belt buckles, lap and chest belts and the bodies of people. The thesis comprises a 3-month internship followed by a 6-month thesis. If the scientific results are of a correspondingly high quality, the thesis should conclude with the publication of a scientific article.

Your Tasks:

• You create a diverse data set using vehicle interior cameras
• You are responsible for labeling the data set
• You apply machine learning/deep learning methods
• You statistically evaluate the results including borderline cases

Necessary Skills:

• Ongoing studies in the field of computer science, computer engineering, electrical engineering or comparable courses of study
• Programming skills (preferably Python)
• Experience with DL frameworks such as Tensorflow/ Keras
• Experience with object segmentation training
• Good knowledge of German or English
• Communication and teamwork skills as well as initiative and reliability

Desired Skills:

• Experience with Gitlab
• Enthusiasm for innovative solutions and research

Renumeration is based on our collective wage and salary agreement. The current monthly salary for this position is EUR 979.

You won’t just be working anywhere as a student at IAV. You’ll be right in the middle of it all. Real projects. Exciting future tasks. Completely integrated and side-by-side with IAV experts. Lots of responsibility and at the same time lots of freedom, combining university and work. The result is the best prospects for your professional development. And attractive compensation in accordance with our company wage agreements.
Diversity and equal opportunity are important to us. What matters to us is the individual, with his or her character and strengths.