Abstract: An unmanned aerial vehicle comprising at least one rotor motor. The rotor motor is powered by a micro hybrid generation system. The micro hybrid generator system comprises a rechargeable battery configured to provide power to the at least one rotor motor, a small engine configured to generate mechanical power, a generator motor coupled to the small engine and configured to generate AC power using the mechanical power generated by the small engine, a bridge rectifier configured to convert the AC power generated by the generator motor to DC power and provide the DC power to either or both the rechargeable battery and the at least one rotor motor, and an electronic control unit configured to control a throttle of the small engine based, at least in part, on a power demand of at least one load, the at least one load including the at least one rotor motor.

Abstract: An unmanned aerial vehicle comprising at least one rotor motor. The rotor motor is powered by a micro hybrid generation system. The micro hybrid generator system comprises a rechargeable battery configured to provide power to the at least one rotor motor, a small engine configured to generate mechanical power, a generator motor coupled to the small engine and configured to generate AC power using the mechanical power generated by the small engine, a bridge rectifier configured to convert the AC power generated by the generator motor to DC power and provide the DC power to either or both the rechargeable battery and the at least one rotor motor, and an electronic control unit configured to control a throttle of the small engine based, at least in part, on a power demand of at least one load, the at least one load including the at least one rotor motor.

Abstract: An unmanned aerial vehicle comprising at least one rotor motor. The rotor motor is powered by a micro hybrid generation system. The micro hybrid generator system comprises a rechargeable battery configured to provide power to the at least one rotor motor, a small engine configured to generate mechanical power, a generator motor coupled to the small engine and configured to generate AC power using the mechanical power generated by the small engine, a bridge rectifier configured to convert the AC power generated by the generator motor to DC power and provide the DC power to either or both the rechargeable battery and the at least one rotor motor, and an electronic control unit configured to control a throttle of the small engine based, at least in part, on a power demand of at least one load, the at least one load including the at least one rotor motor.

Abstract: An unmanned aerial vehicle comprising at least one rotor motor. The rotor motor is powered by a micro hybrid generation system. The micro hybrid generator system comprises a rechargeable battery configured to provide power to the at least one rotor motor, a small engine configured to generate mechanical power, a generator motor coupled to the small engine and configured to generate AC power using the mechanical power generated by the small engine, a bridge rectifier configured to convert the AC power generated by the generator motor to DC power and provide the DC power to either or both the rechargeable battery and the at least one rotor motor, and an electronic control unit configured to control a throttle of the small engine based, at least in part, on a power demand of at least one load, the at least one load including the at least one rotor motor.

Abstract: Methods and a computer program product for deriving a super-resolution image of a physical object by fusing cameras of multiple resolutions (spatial, temporal, or spectral), the super-resolution image characterized by a resolution exceeding a “camera imaging resolution” associated with each of a sequence of lower-resolution images of the physical object. The sequence of images of the physical object is obtained at a plurality of relative displacements with respect to the object by a hybrid camera system comprising at least two imaging systems. The imaging systems are characterized by respective temporal and spatial resolution and by spectral sensitivity, and may be distinct from one another in one or more of the foregoing dimensions. The imaging systems are either fixed, or subject to know motion, relative to each other. Image sequences derived by each imaging system are coregistered and deconvolved to solve for a resultant sequence of images.

Abstract: Methods and a computer program product for deriving temperature information with respect to surfaces within a scene that is imaged radiometrically. A time sequence of radiometric data is acquired in frames viewed from distinct angles. A three-dimensional structure of the scene is derived, allowing viewing angles and distances to the imaged surfaces to be inferred. Normalized surface areas of the imaged surfaces are calculated based on the inferred viewing angles and emissivities of the imaged surfaces are corrected accordingly. Corrections also account for background radiation impinging on the imaged surfaces. The radiometric data are converted to a perceptible temperature map of the imaged surfaces.

Abstract: Methods and a computer program product for deriving a super-resolution image of a physical object, the super-resolution image characterized by a resolution exceeding a “camera imaging resolution” associated with each of a sequence of lower-resolution images of the physical object. The sequence of images of the physical object is obtained at a plurality of relative displacements with respect to the object. An offset is passively associated with each of the plurality of images to derive effective camera movement, allowing for calculation of a kinetic point spread function on the basis of the effective camera movement. The image sequence is deconvolved, using the kinetic point spread function, to solve for a high-resolution image. Various applications such as portable cameras and infrared imaging for energy conservation are described.

Abstract: Methods and a computer program product for deriving temperature information with respect to surfaces within a scene that is imaged radiometrically. A time sequence of radiometric data is acquired in frames viewed from distinct angles. A three-dimensional structure of the scene is derived, allowing viewing angles and distances to the imaged surfaces to be inferred. Normalized surface areas of the imaged surfaces are calculated based on the inferred viewing angles and emissivities of the imaged surfaces are corrected accordingly. Corrections also account for background radiation impinging on the imaged surfaces. The radiometric data are converted to a perceptible temperature map of the imaged surfaces.

Abstract: Methods and a computer program product for deriving a super-resolution image of a physical object by fusing cameras of multiple resolutions (spatial, temporal, or spectral), the super-resolution image characterized by a resolution exceeding a “camera imaging resolution” associated with each of a sequence of lower-resolution images of the physical object. The sequence of images of the physical object is obtained at a plurality of relative displacements with respect to the object by a hybrid camera system comprising at least two imaging systems. The imaging systems are characterized by respective temporal and spatial resolution and by spectral sensitivity, and may be distinct from one another in one or more of the foregoing dimensions. The imaging systems are either fixed, or subject to know motion, relative to each other. Image sequences derived by each imaging system are coregistered and deconvolved to solve for a resultant sequence of images.

Abstract: Methods and a computer program product for deriving a super-resolution image of a physical object, the super-resolution image characterized by a resolution exceeding a “camera imaging resolution” associated with each of a sequence of lower-resolution images of the physical object. The sequence of images of the physical object is obtained at a plurality of relative displacements with respect to the object. An offset is passively associated with each of the plurality of images to derive effective camera movement, allowing for calculation of a kinetic point spread function on the basis of the effective camera movement. The image sequence is deconvolved, using the kinetic point spread function, to solve for a high-resolution image. Various applications such as portable cameras and infrared imaging for energy conservation are described.