This paper provides a nonlinear attitude estimation method for vehicles performing high acceleration maneuvers when measurements of linear velocity and the ambient magnetic field are delayed. Linear velocity is measured using the Global Positioning System (GPS) and the delays of GPS and magnetometer measurements are assumed to be known constants. Our proposed method consists of a delayed observer coupled with a dynamic predictor. The delayed observer uses delayed measurements and provides estimates of delayed attitude and velocity states that are in turn used in the predictor to generate estimates of the current attitude and velocity. A key contribution of the paper is effective use of the underlying symmetries of the system in order to des...
This paper proposes a discrete-time geometric attitude observer for fusing monocular vision with GPS...
Attitude estimation is often inaccurate during highly dynamic motion due to the external acceleratio...
Accurate attitude estimation in high dynamic motion scenarios like unmanned aerial vehicle navigatio...
This paper proposes an attitude estimation methodology for the case where attitude sensors provide d...
More and more services are based on knowing the location of pedestrians equipped with connected obje...
The design of high–performance state estimators for future autonomous vehicles constitutes a challen...
In this paper, a new and efficient algorithm is developed for attitude determination from Global Pos...
In this paper we study the attitude estimation problem for an accelerated rigid body using gyros and...
International audienceThis paper considers the problem of attitude estimation for rigid bodies using...
Attitude estimation is a crucial aspect for navigation and motion control of autonomous vehicles. Th...
In this paper, a new algorithm is developed for attitude estimation using Global Positioning System ...
International audienceRotational motion (or attitude) estimation algorithms in navigation rely mainl...
A sequential filtering algorithm is presented for attitude and attitude-rate estimation from Global ...
This paper addresses the problem of estimating the attitude of a rigid body, which is subject to hig...
This thesis is motivated by recent interest in nonlinear observers for navigation. The field of navi...
This paper proposes a discrete-time geometric attitude observer for fusing monocular vision with GPS...
Attitude estimation is often inaccurate during highly dynamic motion due to the external acceleratio...
Accurate attitude estimation in high dynamic motion scenarios like unmanned aerial vehicle navigatio...
This paper proposes an attitude estimation methodology for the case where attitude sensors provide d...
More and more services are based on knowing the location of pedestrians equipped with connected obje...
The design of high–performance state estimators for future autonomous vehicles constitutes a challen...
In this paper, a new and efficient algorithm is developed for attitude determination from Global Pos...
In this paper we study the attitude estimation problem for an accelerated rigid body using gyros and...
International audienceThis paper considers the problem of attitude estimation for rigid bodies using...
Attitude estimation is a crucial aspect for navigation and motion control of autonomous vehicles. Th...
In this paper, a new algorithm is developed for attitude estimation using Global Positioning System ...
International audienceRotational motion (or attitude) estimation algorithms in navigation rely mainl...
A sequential filtering algorithm is presented for attitude and attitude-rate estimation from Global ...
This paper addresses the problem of estimating the attitude of a rigid body, which is subject to hig...
This thesis is motivated by recent interest in nonlinear observers for navigation. The field of navi...
This paper proposes a discrete-time geometric attitude observer for fusing monocular vision with GPS...
Attitude estimation is often inaccurate during highly dynamic motion due to the external acceleratio...
Accurate attitude estimation in high dynamic motion scenarios like unmanned aerial vehicle navigatio...