• Stars
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    4
  • Rank 3,304,323 (Top 66 %)
  • Language
    C++
  • Created over 6 years ago
  • Updated over 6 years ago

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Repository Details

The fourth and final project is about building a estimation project on top of controller project to get close to th reality with existence of noise . In this project , we are using Extended kalman filter by fusing noisy GPS , IMU and compass (magnetometer) to estimate current drone position , velocity and yaw . EKF filter is implemented using c++ with basic code provided by Udacity.