MPU-9250 and GPS Raw Data Pre-Processing

This project pre-processes the raw data sampled through MPU-9250 sensors (accelerometer, gyroscope, magnetometer and temperature) and GPS.

Table of Contents

• Instalation
• How To Use
• How To Cite

Instalation

Clone this repository:

git clone https://github.com/Intelligent-Vehicle-Perception/MPU-9250-and-GPS-Raw-Data-Pre-Processing.git

How To Use

There are four jupyter notebooks and python configuration files:

• 1 - Raw Data Pre-Processing: data collected on the right and left side of the vehicle are adjusted, synced and joined with the GPS data.

  • 1 - Raw Data Pre-Processing.ipynb: jupyter notebook that perform operations described.

• 2 - Pre-Processed Data Visualization: plot pre-processed data in several graphs.

  • 2 - Pre-Processed Data Visualization.ipynb: jupyter notebook that plot the data.

• 3 - Data Class Labeling: create labels for data classes.

  • 3 - Data Class Labeling.ipynb: jupyter notebook that create labels for the data.

• 4 - Data Class Visualization: plot the data and labels in several graphs.

  • 4 - Data Class Visualization.ipynb: jupyter notebook that plot the data and labels.

How To Cite

To cite this repository, use the reference below:

@software{menegazzo3960621,
    author = {Jeferson Menegazzo and Aldo von Wangenheim},
    title = {{MPU-9250 and GPS Raw Data Pre-Processing}},
    month = jul,
    year = 2020,
    publisher = {Zenodo},
    version = {1.0.4},
    doi = {10.5281/zenodo.3960621},
    url = {https://github.com/Intelligent-Vehicle-Perception/MPU-9250-and-GPS-Raw-Data-Pre-Processing}
}

License

This project is under Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). Please see License File for more information.