AbstractPath following is difficult when the observation rate is low. Multiple model estimators incorporating multisensor fusion have proven useful in this application. This paper shows the advantage of a recently developed multiple model algorithm. Performance comparisons with some current algorithms are presented
Caption title.Includes bibliographical references (p. 27-29).Supported by the Laboratory for Informa...
In this report, we analyze the performance degradation due to three classes of model mismatch: param...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
AbstractPath following is difficult when the observation rate is low. Multiple model estimators inco...
Manoeuvring target tracking faces the challenge caused by the target motion model uncertainty, i.e.,...
A 3-model interacting multiple model extended Kalman filter with constant velocity, constant acceler...
The problem of modeling accuracy in target tracking has been well studied in the past and is special...
Interacting Multiple Model (IMM) is a sub-optimal hybrid approach for effective target tracking and ...
Multiple hypothesis trackers (MHTs) are widely accepted as the best means of tracking targets in clu...
Target tracking is crucial in monitoring and controlling air traffic in civilian and military applic...
Maneuvering targets are of special interest in remote tracking because of the difficulty in modeling...
A modeling approach, which utilizes a matrix of transfer functions to describe the human pilot in mu...
Qualitative and quantitative aspects of the multiple model adaptive control method are detailed. The...
This thesis proposes the design of a multiple model state estimation and control scheme for micro a...
The Kalman filter and Kalman smoother are important components in modern multitarget tracking system...
Caption title.Includes bibliographical references (p. 27-29).Supported by the Laboratory for Informa...
In this report, we analyze the performance degradation due to three classes of model mismatch: param...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
AbstractPath following is difficult when the observation rate is low. Multiple model estimators inco...
Manoeuvring target tracking faces the challenge caused by the target motion model uncertainty, i.e.,...
A 3-model interacting multiple model extended Kalman filter with constant velocity, constant acceler...
The problem of modeling accuracy in target tracking has been well studied in the past and is special...
Interacting Multiple Model (IMM) is a sub-optimal hybrid approach for effective target tracking and ...
Multiple hypothesis trackers (MHTs) are widely accepted as the best means of tracking targets in clu...
Target tracking is crucial in monitoring and controlling air traffic in civilian and military applic...
Maneuvering targets are of special interest in remote tracking because of the difficulty in modeling...
A modeling approach, which utilizes a matrix of transfer functions to describe the human pilot in mu...
Qualitative and quantitative aspects of the multiple model adaptive control method are detailed. The...
This thesis proposes the design of a multiple model state estimation and control scheme for micro a...
The Kalman filter and Kalman smoother are important components in modern multitarget tracking system...
Caption title.Includes bibliographical references (p. 27-29).Supported by the Laboratory for Informa...
In this report, we analyze the performance degradation due to three classes of model mismatch: param...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
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