Publication

Automated Processing of GPS/MEMS-IMU Data for Position, Velocity and Attitude Determination

2009
Student project
Abstract

This master thesis deals with the problematic of the integration of Global Positioning System (GPS) measurements with inertial data acquired by a Micro-Electro-Mechanical System (MEMS) Inertial Measurement Units (IMU). This technology is employed for the purposes of sport performances assessment, as it enables reconstructing accurately athletes trajectories. Based on a recent development at the TOPO laboratory at the Swiss Federal Institute of Technology of Lausanne (EPFL), a new software's architecture is proposed to ensure an automated treatment of the input data. In its first phase, a Continuous Wavelet Transform (CWT) is performed to split the signal as a function of its dynamic. Then, quasi static periods are automatically identified to initialize the processing. Thereafter, several ranges can be integrated in order to compute an optimal trajectory. The performances of this new architecture are validated and evaluated using several sport experiments in skiing and biking. The implemented method is reliable and works correctly. The process offers the capability of bridging lacks of GPS data lasting up to 10 seconds, without any substantial degradation of the trajectory's accuracy. In the frame of this project, a new MEMS-IMU was also engaged, in order to evaluate its navigation performances. It appears that its stochastic model needs to be refined and a specific initialization strategy developed before this sensor finds its place in trajectory reconstruction for downhill skiing.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.