Master Thesis - IMU based motion detection using machine learning algorithms i Lund

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Problem statement
If you are interested in shaping the future of connected mobility with a touch of adventure, health-oriented products and a focus on sustainability, we are excited to offer an inspiring and fun master’s thesis project.

At Bosch in Lund, we develop software and hardware that evolves transportation of people and goods into computerized, safe, agile and environmentally friendly mobility. One very important part of this future is to continuously and in real-time know the vehicles motion information. Using a tiny and power-efficient inertial measuring unit (IMU) sensor, the assignment in this project is to detect and describe when and how motion of the vehicle occurred.

Proposed solution
The focus in this thesis project shall be on developing algorithms for motion detection using a machine learning approach. In the team, algorithm development has been conducted and there is an existing framework with e.g., annotated data and visualization tools.

We propose the following topics to be covered in the thesis:

• Research and find suitable algorithms for motion detection using state of the art techniques such as machine learning and analytical methods for time series data.
• Identify relevant features for motion detection based on the available sensors.
• Conduct field testing to evaluate, verify and validate the algorithms in different real-world scenarios.

You will of course have the opportunity to shape the thesis based on your knowledge, skills and discoveries during the project.

Scope of master thesis project
Two students completing 30 credits each (20 weeks) onsite at the Lund office.

Your profile
In order to be successful in the project with think you are:

• A student in Information Technology, Computer Science, Electronics, Math or Physics.
• Interested in algorithm development and have some signal processing experience with machine learning knowledge.
• Experienced with or have at least some knowledge of programming in Matlab, Python, C++ or similar.
• Self-driven, able to challenge yourself, and gain the experience needed to move the project forward.
• A person with team spirit, social skills and a curiosity for exploring new technology areas.
• Proficient in English.
• Please note: Only applications from students at a Swedish University are accepted.

Team: Bosch, ESW13, Supervisor: Gustav Träff, Bosch

Diversity is our strength! At Bosch we look at diversity in gender, generation, nationalities and culture as our advantage. We believe mixed teams to be more successful because they utilize the potential offered by different perspectives and solution strategies. We therefore promote mixed teams at all levels and draw on the entire talent pool.