Dynamic infrared scene projection: a review

Williams, Owen M.

doi:10.1016/s1350-4495(98)00041-3

Cited by 45 publications

(18 citation statements)

References 46 publications

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“…Checking of their functionality, calibration and testing of their characteristics are an important task. Therefore the urgent problem is the development of methods of simulating and creation of the IR sources, spatial coordinates and intensity of radiation of which can dynamically change (imitators of the heated objects) (Williams, 1998).…”

Section: Sources With Control Of Spatial Field Of Radiationmentioning

confidence: 99%

Transmission, Reflection and Thermal Radiation of a Magneto-Optical Fabry-Perot Resonator in Magnetic Field: Investigations and Applications

Liptuga¹,

Morozhenko²,

Pipa³

2012

Infrared Radiation

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Section: Sources With Control Of Spatial Field Of Radiationmentioning

confidence: 99%

Transmission, Reflection and Thermal Radiation of a Magneto-Optical Fabry-Perot Resonator in Magnetic Field: Investigations and Applications

Liptuga¹,

Morozhenko²,

Pipa³

2012

Infrared Radiation

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“…The modeling and synthesizing of such sequences is an area of active research [16], [17]. In the following, it is assumed that the target has been segmented from the background and its centroid location in the image plane results from perspective projection.…”

Section: Image Formation and Optical Flow Estimationmentioning

confidence: 99%

“…Errors in target location in the image plane caused by the segmentation algorithm have been modeled as uncorrelated Gaussian along each image direction. The results of an earlier investigation on an active vision algorithm for multiple target tracking and attentional management in unstructured environments [23] have not been utilized here because public databases for this application are not available and the generation of realistic synthetic sequences requires computational resources beyond the scope of this research [17]. Therefore, the results presented here do not address the complexity inherent to selecting and tracking among a number of targets and decoys by the segmentation algorithm.…”

Section: Monte Carlo Simulation Of Seeker Integration With a Ppn-mentioning

confidence: 99%

Line-of-sight rate estimation and linearizing control of an imaging seeker in a tactical missile guided by proportional navigation

Waldmann

2002

IEEE Trans. Contr. Syst. Technol.

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Acceleration commands in missiles guided by proportional navigation require the measurement of line-of-sight (LOS) rate. It is often obtained by filtering the output of a two-degree-of-freedom (2-DOF) rate gyro mounted on the inner gimbal of the seeker. This paper describes the modeling of an imaging seeker and the formulation of an extended Kalman filter (EKF) for the estimation of LOS rate from measurements of relative angular displacement between seeker gimbals and a low-cost strapdown inertial unit. The approach aims at circumventing the need for the rate gyro on the seeker. A linearizing feedback control law for decoupling missile motion from that of the seeker is proposed based on the filter model and its estimates. Additionally, the control law uses visual information from the image sequence for target tracking. Seeker dynamics and control are then integrated into a dynamic model of a cruciform missile equipped with canards and rollerons and guided by proportional navigation in three-dimensional (3-D) interception tasks. MonteCarlo simulation is employed to evaluate the overall system accuracy subject to different initial conditions-lateral and head-on engagements-and the impact of rolling motion during highmaneuvers on miss distance. The validation model includes noise in the various sensors, coupled inertia of the seeker gimbals, signal saturation at various subsystems, optical geometric distortion, and target segmentation errors in the image plane. Initial engagement geometry and roll-rate damping at high incidence angles have been observed to have a significant impact on miss distance.

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“…For calibration and testing of optoelectronic devices intended for the infrared (IR) spectral range, semiconductor light-emitting diodes (LEDs) and lasers are extensively used at present in simulation engineering [1]. Their application area, however, is near and middle IR (k 6 5 lm).…”

Section: Introductionmentioning

confidence: 99%