Add to ORKGThis thesis is concerned with attitude estimation of small flying robots using low cost, small-sized inertial and magnetic sensors. A quaternion-based extended Kalman filter is used, which adaptively compensates external acceleration. External acceleration is the main source of estimation error. If external acceleration is detected, the accelerometer measurement covariance matrix of the Kalman filter is adjusted. The proposed algorithms are verified through experiments. Selected algorithm is implemented on STM32F4DISCOVERY development board
Human body orientation estimation from microinertial/magnetic sensor units is highly important for s...
This chapter presents a complete development of a complementary filter-based attitude estimation sch...
In this paper, a quaternion based extended Kalman filter (EKF) is developed for determining the orie...
Abstract — This paper presents a viable quaternion-based Adaptive Kalman Filter (q-AKF) that is desi...
Obtaining precise attitude information is essential for aircraft navigation and control. This paper ...
[[abstract]]Obtaining precise attitude information is essential for aircraft navigation and control....
Accurate and real-time tracking of the orientation or attitude of rigid bodies has traditional appli...
[[abstract]]Obtaining precise attitude information is essential for aircraft navigation and control....
In robot inertial navigation systems, to deal with the problems of drift and noise in the gyroscope ...
Abstract: This paper presents an extended Kalman filter for real-time estimation of rigid body orie...
[[abstract]]This paper presents the results of a quaternion-based unscented Kalman filtering for att...
An attitude estimation algorithm is developed using an adaptive extended Kalman filter for low-cost ...
This paper presents the Quaternion-based Robust Adaptive Unscented Kalman Filter (QRAUKF) for attitu...
Unmanned Aerial Vehicles (UAV) are playing an increasing role in aviation. Various methods exist for...
Aircraft attitude estimation requires fusing several sensors in order to recover both high and low f...
Human body orientation estimation from microinertial/magnetic sensor units is highly important for s...
This chapter presents a complete development of a complementary filter-based attitude estimation sch...
In this paper, a quaternion based extended Kalman filter (EKF) is developed for determining the orie...
Abstract — This paper presents a viable quaternion-based Adaptive Kalman Filter (q-AKF) that is desi...
Obtaining precise attitude information is essential for aircraft navigation and control. This paper ...
[[abstract]]Obtaining precise attitude information is essential for aircraft navigation and control....
Accurate and real-time tracking of the orientation or attitude of rigid bodies has traditional appli...
[[abstract]]Obtaining precise attitude information is essential for aircraft navigation and control....
In robot inertial navigation systems, to deal with the problems of drift and noise in the gyroscope ...
Abstract: This paper presents an extended Kalman filter for real-time estimation of rigid body orie...
[[abstract]]This paper presents the results of a quaternion-based unscented Kalman filtering for att...
An attitude estimation algorithm is developed using an adaptive extended Kalman filter for low-cost ...
This paper presents the Quaternion-based Robust Adaptive Unscented Kalman Filter (QRAUKF) for attitu...
Unmanned Aerial Vehicles (UAV) are playing an increasing role in aviation. Various methods exist for...
Aircraft attitude estimation requires fusing several sensors in order to recover both high and low f...
Human body orientation estimation from microinertial/magnetic sensor units is highly important for s...
This chapter presents a complete development of a complementary filter-based attitude estimation sch...
In this paper, a quaternion based extended Kalman filter (EKF) is developed for determining the orie...