Add to ORKGKalman filter which is used extensively in target tracking13; applications performs optimally when the model describing the target motion is specified correctly. In tracking applications, for targets moving with constant velocity (CV), the state model includes the first derivative of position and for targets moving with constant acceleration (CA) it includes second derivative of positionill. Models with second order derivatives are preferred for tracking maneuvering targets and referred to as acceleration models12'31. However, for highly maneuvering targets, it is seeni41 that the tracking13; performance of acceleration model is not very accurate since under large maneuver conditions, higher order derivatives of position become significant....
Abstract: Tracking agile aircraft under high accelerations generally demands sophisticated models fo...
The Jerk model is widely used for the track of the maneuvering targets. Different Jerk model has its...
The Kalman filter is one of the most widely used algorithms to be derived from the state variable te...
Kalman filter which is used extensively in target tracking13; applications performs optimally when t...
A constant jerk model consisting of third order derivative of target position is included in IMM est...
In general, the motion of maneuvering targets is described by acceleration model which13; is a kinem...
A model of target motion in three-dimensional space that includes position derivatives up to the thi...
A 3-model interacting multiple model extended Kalman filter with constant velocity, constant acceler...
A new mathematical model describing the motion of manned maneuvering targets is presented. This mode...
In a recent paper the authors introduced an all-Cartesian formulation of a jerk model for tracking h...
Dimirovski, Georgi M. (Dogus Author) -- Conference full title: 2010 American Control Conference, ACC...
In view of the limitation of the traditional Kalman filter with which the tracking has big calculati...
The tracking filter plays a key role in accurate estimation and prediction of maneuvering vessel’s p...
Abstract – As a state-of-the-art algorithm, the Interacting Multiple Model (IMM) estimator is widely...
Accurate and robust tracking of humans is of growing interest in the image processing and computer v...
Abstract: Tracking agile aircraft under high accelerations generally demands sophisticated models fo...
The Jerk model is widely used for the track of the maneuvering targets. Different Jerk model has its...
The Kalman filter is one of the most widely used algorithms to be derived from the state variable te...
Kalman filter which is used extensively in target tracking13; applications performs optimally when t...
A constant jerk model consisting of third order derivative of target position is included in IMM est...
In general, the motion of maneuvering targets is described by acceleration model which13; is a kinem...
A model of target motion in three-dimensional space that includes position derivatives up to the thi...
A 3-model interacting multiple model extended Kalman filter with constant velocity, constant acceler...
A new mathematical model describing the motion of manned maneuvering targets is presented. This mode...
In a recent paper the authors introduced an all-Cartesian formulation of a jerk model for tracking h...
Dimirovski, Georgi M. (Dogus Author) -- Conference full title: 2010 American Control Conference, ACC...
In view of the limitation of the traditional Kalman filter with which the tracking has big calculati...
The tracking filter plays a key role in accurate estimation and prediction of maneuvering vessel’s p...
Abstract – As a state-of-the-art algorithm, the Interacting Multiple Model (IMM) estimator is widely...
Accurate and robust tracking of humans is of growing interest in the image processing and computer v...
Abstract: Tracking agile aircraft under high accelerations generally demands sophisticated models fo...
The Jerk model is widely used for the track of the maneuvering targets. Different Jerk model has its...
The Kalman filter is one of the most widely used algorithms to be derived from the state variable te...