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We decided to use a combination of the Extended Kalman Filter (EKF) and the Particle Filter (PF) for localization of the quadcopter as they complement each other well and have already been used in SLAM algorithms like FastSLAM
The text was updated successfully, but these errors were encountered:
https://github.com/fada-catec/amcl3d
This uses the PF alone to localize a robot in a 3D environment. Modifications will have to be made to make it compatible with our quadcopter. Then, it has to be integrated with the EKF to give a combination of the two for our use case
We decided to use a combination of the Extended Kalman Filter (EKF) and the Particle Filter (PF) for localization of the quadcopter as they complement each other well and have already been used in SLAM algorithms like FastSLAM
The text was updated successfully, but these errors were encountered: