Abstract
This proposal aims to develop a fault tolerant attitude, orientation and position reference system based on a robust Markovian Kalman filter (RMKF) we presented in Cerri et al. (2012). This RMKF performs better than the standard Markovian Kalman filter to the data fusion from low cost inertial measurement units (IMUs). These types of IMU lacks the quality of signals measured in costly IMU…