Infoscience

Student project

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

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 dynamic 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.

    Keywords: GPS/INS ; Sport ; Integration

    Reference

    • TOPO-STUDENT-2010-001

    Record created on 2010-01-04, modified on 2017-12-28

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