Master Thesis - Position tracking of small vehicles using sensor fusion i Lund

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Bosch R&D Center Lund stands for modern development in cutting edge technology in the areas of connectivity, security, mobility solutions and AI. We are growing rapidly and looking for people to join us on our mission to become the Bosch Group’s 1st address for secure connected mobility solutions. We are working on a range of interesting projects, with a particular focus on software development for the automotive industry, electrical bicycles and Internet of Things.

Problem statement

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 position information. Using a tiny and power-efficient inertial measuring unit (IMU) combined with a GNSS modem, the assignment in this project is to fuse the information into an accurate position that is robust against dropouts in the GNSS domain.

Proposed solution

The focus in this thesis project shall be on developing algorithms where IMU and GNSS data are combined in a sensor fusion framework, with the goal of achieving high quality position tracking.

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

• Identify and calculate momentaneous directional information from the IMU measurements.
• Research and find suitable algorithms to be used for sensor fusion between IMU and GNSS data.
• 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

Team: Bosch eBike, ESW13
Supervisor: Martin Heyden and Stefan Noll, Bosch Lund

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.