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Using Motion Sensors to Support Indoor Localization

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Short Description

Indoor localization of moving targets can be achieved with different technologies including RF, sound, optical, vision, or a combination of them. In the context of low-cost embedded systems, the purpose of this project is to investigate how inexpensive off-the-shelf sensors such as inertial measurement units (IMUs) placed on the moving target can help improving the localization precision as observed in some previous work [1]. This project abstracts from the specific localization technique and focuses on how the sensor readings are acquired using a microcontroller board and how they can be combined for the purpose of localization. The project will investigate the impact of measurement uncertainty such as noise and bias and a basic sensor fusion model.

The result of the thesis will be a working proof- of-concept prototype that uses microcontrollers and inexpensive sensors. The working prototype should also include a basic sensor fusion model and be extensively tested.

The following deliverables are expected: • Microcontroller-based prototype for sensor readings • Basic sensor fusion model • Test-bed and measurement tools/visualization • Written report and oral presentation

Status: Available

  • Looking for Semester and Master Project Students
Supervisors: Michele Magno


• Programming skills C/C++ • Experience in software engineering for embedded systems • Knowledge in working with microcontrollers


30% Theory
50% Implementation
20% Testing


Luca Benini

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Detailed Task Description


Practical Details