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global pose estimation from modular sensors
Zhiang Chen edited this page Feb 20, 2021
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Factor graph is used to estimate global UAV pose by fusing multiple modular odometers such as VIO and GPS+IMU.
We have two odometries, one from VIO and one from GPS+IMU (flight controller pose estimation). Given the external calibration T_vio_uav, a transform from VIO coordinates to UAV coordinates, we need to transfer the UAV's pose measured from VIO (in VIO coordinates) to UAV's coordinates,
P_uav_uav = T_vio_uav * P_vio_vio * T_uav_vio
We don't consider covariance transform because the VIO's covariance from realsense T265 is fake, so we impose predefined covariance instead.