Abstract: A sensor includes a complex-transfer-function calculator that calculates a complex transfer function from received signals, a reflection-coefficient calculator that calculates a reflection coefficient using a complex transfer function when an object to be detected is arranged at one of L positions and an ideal complex transfer function which is a theoretical value for the position at which the object to be detected is arranged, various normalizers that calculate a normalized reflection coefficient by normalizing the reflection coefficient, a reflection-coefficient interpolator that calculates an interpolated reflection coefficient by interpolation calculation of the reflection coefficient using the normalized reflection coefficient for each coordinates used in position estimation of the object to be detected, and a position estimator that corrects the position estimation, using a steering vector and the interpolated reflection coefficient that are determined based on the position of each of the transmitting a

Abstract: A sensor receives M reception signals including reflection signals reflected by a living body; extracts a living-body component transfer function matrix from first complex transfer functions and second complex transfer functions, the first complex transfer functions being obtained by recording an M×N complex transfer function matrix including complex transfer functions in time series, from M reception signals, the complex transfer functions each indicating characteristics of propagation between a corresponding one of transmission antenna elements and a corresponding one of reception antenna elements, the second complex transfer functions being obtained by estimating and recording M×N complex transfer functions in a second period, and outputting a position at which a spectrum function indicating a likelihood that a living body is present indicates a local maximum value, using a correlation matrix based on the living-body component complex transfer function matrix and a steering vector corresponding to each of

Abstract: A sensor includes: a correlation matrix calculator which calculates a correlation matrix from biological information extracted using reception signals obtained by receiving, in a predetermined period, signals transmitted to a predetermined space; a first number information calculator which calculates first number information; a MUSIC spectrum calculator which estimates a candidate of a position of at least one living body and outputs a likelihood spectrum; and a second number information calculator which estimates a position or second number information, which is a total number of living bodies with an increased degree of likelihood, from first position information possibly including a plurality of position candidates.

Abstract: An estimation method is provided which includes: calculating a plurality of complex transfer functions, based on reception signals respectively received by N reception antenna elements during a predetermined period, the complex transfer functions each representing propagation characteristics between a transmission antenna element and the N reception antenna elements; extracting a variation component corresponding to each of the N reception antenna elements, from the calculated complex transfer functions, the variation component being caused by a living body; calculating a correlation matrix based on the variation component corresponding to each of the N reception antenna elements; calculating eigenvalues of the correlation matrix calculated in the calculating of the correlation matrix; and estimating the number of living bodies in a predetermined method, using the eigenvalues calculated in the calculating of the eigenvalues.

Abstract: An estimating method includes: measuring and receiving reception signals including a reflected signal reflected by a moving body, for a first period equivalent to a cycle of movement of the moving body; calculating first complex transfer functions indicating propagation characteristics, from the reception signals measured in the first period; calculating second complex transfer functions having reduced components corresponding to fluctuations, from the first complex transfer functions; extracting moving body information corresponding to a component related to the moving body by extracting moving body information corresponding to a predetermined frequency range of the second complex transfer functions calculated; and estimating a direction in which the moving body is present using the moving body information.

Abstract: A sensor includes: a complex transfer function calculator calculating complex transfer functions; a living body component extractor extracting living body information; a correlation matrix calculator calculating a target correlation matrix from the living body information; a noise information storage recording a noise correlation matrix; a first headcount information calculator calculating first headcount information that is a tentative number of persons present in the predetermined space, based on the target correlation matrix and a threshold calculated from the noise correlation matrix; a MUSIC spectrum calculator estimating position candidates for the living bodies, using the target correlation matrix, and outputting likelihood spectra indicating likelihoods of the respective living bodies being present in corresponding positions; and a second headcount information calculator estimating second headcount information that is a more accurate number of living bodies or positions from position information that

Abstract: An estimation device includes: M transmission antenna elements each transmitting a first transmission signal; N transmitter-receivers each including a reception antenna element and receiving, over a predetermined period, a first reception signal including a reflection signal that is the first transmission signal reflected by a first living body, using the reception antenna element; a memory storing training signals that are second reception signals obtained by causing the N transmitter-receivers to preliminarily receive second reception signals including reflection signals that are second transmission signals transmitted from the M transmission antenna elements to a second living body and reflected therefrom; a first vector calculator calculating a first vector for each training signal and each first reception signal by respective predetermined methods; and a circuit identifying the first living body or estimating an orientation of the first living body by a predetermined method, using correlation coefficient

Abstract: A sensor includes: a living body component extractor that receives a signal transmitted from each transmitting station and influenced by a living body, and extracts a signal component influenced by the living body; a position spectrum function calculator that calculates as many position spectrum functions as the number of combinations of transmitting stations and receiving stations, the position spectrum functions each being calculated from the signal component and corresponding to a likelihood of a position of the living body; a weight function calculator that calculates as many weight functions as the number of combinations, the weight functions each representing reliability of a position spectrum function; an integrated position spectrum function calculator that outputs an integrated position spectrum function using the position spectrum functions and the weight functions; and a position estimator that estimates the position of the living body by detecting a maximum value from the integrated position spect

Abstract: A sensor includes: a complex transfer function calculator that calculates a complex transfer function representing propagation characteristics between each N transmission antenna element and each M reception antenna element, using radio waves transmitted as a reception signal in a space where at least one living body is present from each N transmission antenna element and received by each M reception antenna element; a spectrum calculator that: calculates likelihood spectra, each indicating a likelihood of presence of each living body, by an estimation algorithm for estimating the presence from living body information that is a living body component in the complex transfer function, using different values as the number of the at least one living body; and calculates an integrated spectrum by integrating the likelihood spectra calculated; and an estimator that estimates living body information indicating at least the number of living bodies, and outputs the living body information estimated.

Abstract: An estimation method according to the present disclosure includes: extracting, from a plurality of calculated complex transfer functions, living body components respectively corresponding to N reception antenna elements and affected by a living body; calculating a correlation matrix based on the extracted living body components respectively corresponding to the N reception antenna elements; computing one or more eigenvalues of the calculated correlation matrix; estimating a credibility of an estimation result of estimating the position or the direction of a living body in a target space, using the one or more computed eigenvalues and living body count information indicating a value indicating a total number of living bodies in the target space; and estimating the position or the direction of the living body via a predetermined method, based on the correlation matrix, according to the credibility of the estimation result.

Abstract: A sensor includes: a correlation matrix calculator which calculates a correlation matrix from biological information extracted using reception signals obtained by receiving, in a predetermined period, signals transmitted to a predetermined space; a first number information calculator which calculates first number information; a MUSIC spectrum calculator which estimates a candidate of a position of at least one living body and outputs a likelihood spectrum; and a second number information calculator which estimates a position or second number information, which is a total number of living bodies with an increased degree of likelihood, from first position information possibly including a plurality of position candidates.

Abstract: An estimation device includes: a living body information extraction unit that extracts living body information which is a component corresponding to one or more living bodies in a space; an eigenvector calculation unit that calculates one or more eigenvectors of a living body correlation matrix obtained from the living body information; a first position estimation unit that estimates, using the living body correlation matrix, positions of the one or more living bodies and at least one false image, according to a predetermined position estimation method; a second steering vector output unit that extracts, from first steering vectors stored in a storage, and outputs as second steering vectors, first steering vectors corresponding to the positions estimated; and a second position estimation unit that estimates at least one of the position and the number of the one or more living bodies, using the one or more eigenvectors and the second steering vectors.

Abstract: Complex transfer functions indicating characteristics of propagation between transmission antenna elements and N reception antenna elements are calculated from reception signals received by the N reception antenna elements during a predetermined period. Components affected by vital activity are extracted from the calculated complex transfer functions. A correlation matrix is calculated from changed components affected by vital activity. A steering vector for regions divided from a target region is calculated. A living-body signal intensity vector is estimated by performing compressed sensing for an unknown value that is the living-body signal intensity vector using a correlation matrix vector and an extended steering vector.

Abstract: An estimation method according to the present disclosure includes: extracting, from a plurality of calculated complex transfer functions, living body components respectively corresponding to N reception antenna elements and affected by a living body; calculating a correlation matrix based on the extracted living body components respectively corresponding to the N reception antenna elements; computing one or more eigenvalues of the calculated correlation matrix; estimating a credibility of an estimation result of estimating the position or the direction of a living body in a target space, using the one or more computed eigenvalues and living body count information indicating a value indicating a total number of living bodies in the target space; and estimating the position or the direction of the living body via a predetermined method, based on the correlation matrix, according to the credibility of the estimation result.

Abstract: Complex transfer functions indicating characteristics of propagation between transmission antenna elements and N reception antenna elements are calculated from reception signals received by the N reception antenna elements during a predetermined period. Components affected by vital activity are extracted from the calculated complex transfer functions. A correlation matrix is calculated from changed components affected by vital activity. A steering vector for regions divided from a target region is calculated. A living-body signal intensity vector is estimated by performing compressed sensing for an unknown value that is the living-body signal intensity vector using a correlation matrix vector and an extended steering vector.

Abstract: An estimating method includes: measuring and receiving reception signals including a reflected signal reflected by a moving body, for a first period equivalent to a cycle of movement of the moving body; calculating first complex transfer functions indicating propagation characteristics, from the reception signals measured in the first period; calculating second complex transfer functions having reduced components corresponding to fluctuations, from the first complex transfer functions; extracting moving body information corresponding to a component related to the moving body by extracting moving body information corresponding to a predetermined frequency range of the second complex transfer functions calculated; and estimating a direction in which the moving body is present using the moving body information.

Abstract: An estimation device includes: a living body information extraction unit that extracts living body information which is a component corresponding to one or more living bodies in a space; an eigenvector calculation unit that calculates one or more eigenvectors of a living body correlation matrix obtained from the living body information; a first position estimation unit that estimates, using the living body correlation matrix, positions of the one or more living bodies and at least one false image, according to a predetermined position estimation method; a second steering vector output unit that extracts, from first steering vectors stored in a storage, and outputs as second steering vectors, first steering vectors corresponding to the positions estimated; and a second position estimation unit that estimates at least one of the position and the number of the one or more living bodies, using the one or more eigenvectors and the second steering vectors.

Abstract: w An estimation method is provided which includes: calculating a plurality of complex transfer functions, based on reception signals respectively received by N reception antenna elements during a predetermined period, the complex transfer functions each representing propagation characteristics between a transmission antenna element and the N reception antenna elements; extracting a variation component corresponding to each of the N reception antenna elements, from the calculated complex transfer functions, the variation component being caused by a living body; calculating a correlation matrix based on the variation component corresponding to each of the N reception antenna elements: calculating eigenvalues of the correlation matrix calculated in the calculating of the correlation matrix; and estimating the number of living bodies in a predetermined method, using the eigenvalues calculated in the calculating of the eigenvalues.

Abstract: A vehicle headlamp device includes headlamps, which are structured so as to be able to project or irradiate given patterns and given shapes without distortion on a given virtual surface in front of a vehicle from a left headlight and a right headlight, respectively, a camera that captures an image of the area in front of the vehicle, and a state detecting portion configured to detect distortion of the given patterns, which are projected or irradiated on an irradiated surface in front of the vehicle, relative to the given patterns projected or irradiated on the given virtual surface in front of the vehicle, based on the captured image, and also detect a state of the irradiated surface based on the distortion, and a correcting portion configured to correct a relative optical axis deviation between the left headlight and the right headlight.

Abstract: An illumination system includes: a light irradiation unit that projects light toward a predetermined illumination area; an image acquisition unit that acquires an image of the illumination area; an object detecting unit that detects a shading object based on image information of the illumination area, acquired by the image acquisition unit; an information generating unit that generates the control information for setting each of the plurality of reflecting mirrors to an on state or an off state such that a plurality of irradiation patterns are alternately irradiated, each of the plurality of irradiation patterns having different arrangement of the dark pixels and the light pixels from each other; and an irradiation control unit that controls the light irradiation unit based on the generated control information.