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

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...

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Company Description

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.

Job Description

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 position information. Using a tiny and power-efficient inertial measuring unit (IMU) sensor 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.

Qualifications

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:

  • 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 eBike, ESW13
Supervisor: Gustav Träff, Bosch

Additional Information

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.

Publicerad den

07-01-2023

Extra information

Status
Stängd
Ort
Lund
Körkort önskas
Nej
Tillgång till bil önskas
Nej
Personligt brev krävs
Nej