Results 271 to 280 of about 7,293 (302)

Maneuvering Target Tracking with Hypothesis Testing

IEEE Transactions on Aerospace and Electronic Systems, 1987
A new approach is proposed for maneuvering target tracking.Target motion is described by nonlinear models in a sphericalcoordinate system. States of these models are estimated byquantization, multiple hypothesis testing, and a suboptimumdecoding algorithm of information theory. This approach does notrequire linearization of nonlinear models.
openaire   +2 more sources

Image based maneuvering target tracking

Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207), 1998
This paper presents a new image based target tracking design. The state of the target is described in a hybrid state space where the dynamic of the target is indexed by a discrete variable mode or regime, each mode corresponding to a maneuver hypothesis.
E. Dufour, Dann Laneuville, P. Bertrand
openaire   +2 more sources

Maneuvering Target Tracking in the Case of Wakes

2009 2nd International Congress on Image and Signal Processing, 2009
An interacting multiple model probability data association method for tracking the wake target is presented. When the detections are fed to a tracking system like the Probabilistic Data Association Filter, the estimated track can be misled and sometimes lose the real target because of the wake.
Yuan-kui Liu, Jiong Zhao, Yangyu Fan
openaire   +2 more sources

Maneuvering Target Tracking in the Presence of Glint

2006 IEEE 24th Convention of Electrical & Electronics Engineers in Israel, 2006
The problem of maneuvering target tracking in the presence of glint noise is addressed in this paper. The main challenge in this problem stems from its nonlinearity and non-Gaussianity. In this work, the nonlinear Gaussian mixture Kalman filter (NL-GMKF) is applied to the problem of maneuvering target tracking in the presence of glint. The algorithm is
Joseph Tabrikian, Igal Bilik
openaire   +2 more sources

Multisensor tracking of a maneuvering target in clutter

IEEE Transactions on Aerospace and Electronic Systems, 1989
An algorithm is presented for tracking a highly maneuvering target using two different sensors, a radar and an infrared sensor, assumed to operate in a cluttered environment. The nonparametric probabilist data association filter (PDAF) has been adapted for the multisensor (MS) case, yielding the MSPDAF.
Alain Houles, Yaakov Bar-Shalom
openaire   +2 more sources

A neural decision estimator for maneuvering targets

Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94), 1994
The idea of solving constrained optimization problems such as the TSP with Hopfield neural network is used and an algorithm of the neural decision (ND) of maneuvering levels is put forward. Because the ND algorithm is parallel, the ND adaptive estimator can compute as fast as an ordinary Kalman filter based on a 2nd-order model.
openaire   +2 more sources

Image based target maneuver detection

[1991] Proceedings of the 30th IEEE Conference on Decision and Control, 2002
A noncooperative target tracking application with a forward-looking infrared (FLIR) sensor is considered. Results are reported that demonstrate the feasibility under realistic conditions of target maneuver detection using a postprocessing of target attributes (e.g. the number of pixels or width) extracted from a sequence of FLIR images.
Dann Laneuville, Michel Mariton
openaire   +2 more sources

A Fused Algorithm for Maneuvering Target Tracking [PDF]

, 2012
Traditional filter method usually cause greater error or even filtering divergence if it’s model mismatch when the target is in the station of maneuvering. A fused algorithm based on the interaction multiple model (IMM) and the improved tracking-differentiator (ITD) is proposed.
openaire   +1 more source

Clinical management of metastatic colorectal cancer in the era of precision medicine

Ca-A Cancer Journal for Clinicians, 2022
Fortunato Ciardiello, Fortunato Ciardiello, Davide Ciardiello   +2 more
exaly  

Optimal Guidance with Maneuvering Targets

Journal of Spacecraft and Rockets, 1974
John P. Matuszewski, Robert B. Asher
openaire   +2 more sources