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QUT-Motorsport / QUTMS_Autonomous

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Kalman Filter Design #27

Open NickManjan opened 4 years ago

NickManjan commented 4 years ago

An Adaptive Kalman Filter will be the key localisation functionality. Will use IMU and GPS data with an Adaptive function to give a good estimation of pose (x, y, yaw) and pose rate (x velocity, y velocity, yaw velocity).

NickManjan commented 4 years ago

Node almost finished, addressing timing issue with processing callbacks

NickManjan commented 4 years ago

Encountering strange behaviour with adaptation step for C++ implementation. Using a basic version until issues with adaptation function can be fixed.