An improved model-based observer for inertial navigation for quadrotors with low cost IMUs
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[1] John Weston,et al. Strapdown Inertial Navigation Technology , 1997 .
[2] Stefano Soatto,et al. Observability, identifiability and sensitivity of vision-aided inertial navigation , 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).
[3] Rafael Canetti,et al. Design and implementation of sensor data fusion for an autonomous quadrotor , 2014, 2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings.
[4] Valery Z. Gusinsky,et al. Two New Classes of Strapdown Navigation Algorithms , 2000 .
[5] S. Rohan Munasinghe,et al. Performance analysis of a Kalman Filter based attitude estimator for a Quad Rotor UAV , 2010, International Congress on Ultra Modern Telecommunications and Control Systems.
[6] Philippe Martin,et al. The true role of accelerometer feedback in quadrotor control , 2010, 2010 IEEE International Conference on Robotics and Automation.
[7] Timothy W. McLain,et al. Analysis of an Improved IMU-Based Observer for Multirotor Helicopters , 2014, J. Intell. Robotic Syst..
[8] Roland Siegwart,et al. Vision-Controlled Micro Flying Robots , 2014 .
[9] Gamini Dissanayake,et al. Improved State Estimation in Quadrotor MAVs: A Novel Drift-Free Velocity Estimator , 2015, IEEE Robotics & Automation Magazine.
[10] P. Savage. Strapdown Sculling Algorithm Design for Sensor Dynamic Amplitude And Phase-Shift Error , 2012 .
[11] Zheyao Wang,et al. Motion Measurement Using Inertial Sensors, Ultrasonic Sensors, and Magnetometers With Extended Kalman Filter for Data Fusion , 2012, IEEE Sensors Journal.
[12] Arthur J. Krener,et al. Measures of unobservability , 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.
[13] Seon Ki Park,et al. Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III) , 2009 .
[14] Peter I. Corke,et al. System identification, estimation and control for a cost effective open-source quadcopter , 2012, 2012 IEEE International Conference on Robotics and Automation.
[15] A. Krener,et al. Nonlinear controllability and observability , 1977 .
[16] M. V. L. A. W. Heemink,et al. Data Assimilation For AtmosphericChemistry Models , 1997 .
[17] Wolfram Burgard,et al. Towards a navigation system for autonomous indoor flying , 2009, 2009 IEEE International Conference on Robotics and Automation.
[18] P. Savage. A Unified Mathematical Framework for Strapdown Algorithm Design , 2006 .
[19] P. Savage. Coning Algorithm Design by Explicit Frequency Shaping , 2010 .
[20] M. B. Ignagni,et al. Optimal strapdown attitude integration algorithms , 1990 .
[21] P. Savage. Explicit Frequency-Shaped Coning Algorithms for Pseudoconing Environments , 2011 .
[22] P. Savage. Strapdown Inertial Navigation Integration Algorithm Design Part 1: Attitude Algorithms , 1998 .
[23] Timothy W. McLain,et al. Quadrotors and Accelerometers: State Estimation with an Improved Dynamic Model , 2014, IEEE Control Systems.
[24] Yangquan Chen,et al. A comparative evaluation of low-cost IMUs for unmanned autonomous systems , 2010, 2010 IEEE Conference on Multisensor Fusion and Integration.
[25] Ricardo Sanz,et al. Improving attitude estimation using inertial sensors for quadrotor control systems , 2014, 2014 International Conference on Unmanned Aircraft Systems (ICUAS).
[26] Randal W. Beard,et al. Real-Time Attitude and Position Estimation for Small UAVs Using Low-Cost Sensors , 2004 .
[27] Frantisek Solc,et al. Model-Based Attitude Estimation for Multicopters , 2014 .
[28] P. Savage. STRAPDOWN INERTIAL NAVIGATION INTEGRATION ALGORITHM DESIGN. PART 2: VELOCITY AND POSITION ALGORITHMS , 1998 .