In this paper we consider the problem of tracking a maneuvering aircraft. The dynamical model used is based on assumptions of nearly constant tangential velocity, curvature, and torsion, of the target trajectory. Using the Frenet-Serret frame, that is, an element of the special orthogonal group SO(3) we cast the tracking problem into a filtering on Lie groups framework. We then use an invariant extended Kalman filter to estimate the various quantities involved. The resulting filter is simple to implement, and shown to gracefully accomodate some realistic target trajectories
Abstract — This paper applies estimation theory to the problem of tracking deformable moving objects...
A new mathematical model describing the motion of manned maneuvering targets is presented. This mode...
International audienceFusing visual information with inertial measurements for state estimation has ...
In this paper we consider the problem of tracking a maneuvering aircraft. The dynamical model used i...
International audienceIn this paper we consider the problem of tracking a target in a 2D space whose...
In this paper we propose a novel method for estimating rigid body motion by modeling the object stat...
This paper presents an extension to the original Frenet-Serret and Bishop frame target models used i...
International audienceThis paper addresses the drone tracking problem, using a model based on the Fr...
This paper analyzes directional tracking in 2D with the extended Kalman filter on Lie groups (LG-EKF...
An extended Kalman filter (EKF) for systems with configuration given by matrix Lie groups is present...
In this paper we propose a new state estimation algorithm called the extended information filter on ...
Visual tracking is one of the most important applications of Computer Vision and several tracking sy...
In this paper we consider a noise free class of dynamics encompassing left- and right-invariant on a...
An algorithm for aircraft trajectory prediction is presented that is based on two algebraic represen...
Abstract: Tracking agile aircraft under high accelerations generally demands sophisticated models fo...
Abstract — This paper applies estimation theory to the problem of tracking deformable moving objects...
A new mathematical model describing the motion of manned maneuvering targets is presented. This mode...
International audienceFusing visual information with inertial measurements for state estimation has ...
In this paper we consider the problem of tracking a maneuvering aircraft. The dynamical model used i...
International audienceIn this paper we consider the problem of tracking a target in a 2D space whose...
In this paper we propose a novel method for estimating rigid body motion by modeling the object stat...
This paper presents an extension to the original Frenet-Serret and Bishop frame target models used i...
International audienceThis paper addresses the drone tracking problem, using a model based on the Fr...
This paper analyzes directional tracking in 2D with the extended Kalman filter on Lie groups (LG-EKF...
An extended Kalman filter (EKF) for systems with configuration given by matrix Lie groups is present...
In this paper we propose a new state estimation algorithm called the extended information filter on ...
Visual tracking is one of the most important applications of Computer Vision and several tracking sy...
In this paper we consider a noise free class of dynamics encompassing left- and right-invariant on a...
An algorithm for aircraft trajectory prediction is presented that is based on two algebraic represen...
Abstract: Tracking agile aircraft under high accelerations generally demands sophisticated models fo...
Abstract — This paper applies estimation theory to the problem of tracking deformable moving objects...
A new mathematical model describing the motion of manned maneuvering targets is presented. This mode...
International audienceFusing visual information with inertial measurements for state estimation has ...