Company... At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we...
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.
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.
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:
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.
In order to be successful in the project with think you are:
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.
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