Abstract: In an undercover structure according to the present invention, a first cover part that is a lowermost part of an undercover has a first rear end positioned ahead of a front wheel axle. Further, a curved part with a predetermined curvature is formed at the first rear end of the first cover part in a side view. This generates a strong negative pressure in a region ahead of the front wheel axle 21. Accordingly, the flow rate of air flowing to each wheelhouse 23 decreases (the flow rate of the airflow between a road and a vehicle generated along the bottom surface of the first cover part 15a of the undercover 15 increases). This causes an attraction force that attracts the vehicle to a road surface to act on a vehicle body of the vehicle, thereby making traveling stability more excellent.

Abstract: A wind speed prediction device includes processing circuitry configured to acquire a scattering signal that is each of a plurality of beams after being emitted to space and scattered in the space; variably set a range bin width as distance resolution of each of the acquired scattering signals in accordance with an elevation angle of each of the beams emitted to the space, and calculate at least one Doppler frequency of at least one range bin corresponding to a two-dimensional plane including an observation region from the each of the scattering signals; estimate at least one wind speed distribution in the two-dimensional plane from the plurality of Doppler frequencies calculated; and predict a wind speed in the observation region from the at least one wind speed distribution in the two-dimensional plane using a two-dimensional Navier-Stokes equation.

Abstract: While transmitting any one transmission signal of a plurality of transmission signals, a transmitting-receiving unit in a radar device acquires, as a reception signal for target detection, a reception signal of a frequency band different from a frequency band of the transmission signal, and blocks a reception signal of the same frequency band as the frequency band of the transmission signal.

Abstract: A radar signal processing device includes: a forming unit to form beams by using reception signals; a compensation unit to compensate for a phase within a range frequency; a generation unit to generate an image of each beam by applying Fourier transform in an azimuth direction to the beams (with phases compensated; an identification unit to identify a position of a target object based on the image; a calculation unit to calculate power of each beam represented by the image of each beam at a position of the target object; a computing unit to compute an antenna gain of each beam at a position of the target object; and an angle measurement unit to measure angle on the target object by performing maximum likelihood estimation of comparing the power of each beam with the antenna gain of each beam at the position of the target object.

Abstract: Disclosed is a physique estimation device that can estimate a physique. The physique estimation device includes: a sensor having a transmission antenna to transmit a transmission wave, and a reception antenna to receive the transmission wave reflected by at least one target in a vehicle cabin as a received wave; a frequency analysis unit to acquire position information about a reflection point where the transmission wave is reflected using the received wave; and a physique estimation unit to estimate the physique of a non-static object present in the vehicle cabin using the position information.

Abstract: An object detection device includes processing circuitry configured to acquire wave data; acquire the moving velocity of a radar device; estimate a relative distance between the radar device and a target, angle of incidence of a reflection signal from the target, and a first relative velocity between the radar device and the target, by using the wave data; and estimate a second relative velocity between the radar device and the target in a case where the target is a static object, on the basis of the acquired moving velocity and the relative distance and the angle of incidence, and determine whether the target is a static object by comparing the first relative velocity and the second relative velocity.

Abstract: A road shape estimation device includes processing circuitry to detect, from received signals of radio waves reflected by an object present around a vehicle, reflection points each indicating a reflection position of each radio wave on the object, to perform classification of reflection points of an object present in a left side area of the vehicle into a first group, and of reflection points of an object present in a right side area of the vehicle into a second group, to perform translation of each reflection point classified into the first group to a right direction of the vehicle, and perform translation of each reflection point classified into the second group to a left direction of the vehicle, and to calculate an approximate curve representing a point cloud including all reflection points after the translation and perform estimation of a shape of the road from the approximate curve.

Abstract: A radar device includes: a control unit to cause a series of processing to be repeatedly executed, the series of processing including transmitting transmission signals to space using transmission antennas arranged linearly, receiving reflected signals that are the transmission signals reflected in the space using reception antennas linearly arranged in the same direction as the transmission antennas, transmitting the transmission signals simultaneously from the transmission antennas, receiving the reflected signals by the reception antennas, and acquiring digital data; and a signal processing unit to generate a three-dimensional radar image of a target moved in a direction crossing an antenna arrangement direction of the transmission antennas and the reception antennas by using the digital data sequentially acquired in the series of processing repeatedly executed as two-dimensional array data.

Abstract: A radar image processing device includes a phase difference calculating unit calculating a phase difference between phases with respect to a first and a second radio wave receiving points in each pixel at corresponding pixel positions among pixels in a first and a second suppression ranges, the first and the second suppression ranges being suppression ranges in a first and a second radar images capturing an observation area from the first and the second radio wave receiving points, respectively; and a rotation amount calculating unit calculating each phase rotation amount in the pixels in the second suppression range from each phase difference, wherein a difference calculating unit rotates phases in the pixels in the second suppression range based on the rotation amounts, and calculates a difference between pixel values at corresponding pixel position among the pixels in the first suppression range and phase-rotated pixels in the second suppression range.

Abstract: A radar signal processing device includes a frequency analysis unit for calculating a three-dimensional discrete frequency spectrum related to a first discrete frequency corresponding to a distance to a target object, a second discrete frequency corresponding to a relative speed of the target object, and a third discrete frequency corresponding to an angle of arrival of a series of frequency-modulated waves by performing first to third discrete orthogonal transform on digital received signals, a peak detection unit for detecting, for a discrete frequency value of at least one first search frequency, a discrete frequency value of a peak appearing in the three-dimensional discrete frequency spectrum in a direction of a second search frequency, and a maximum distribution detecting unit.

Abstract: A radar signal processing device includes: a frequency analysis unit performing frequency analysis on a reception signal of at least one reception channel generated by a sensor unit; a target object discriminating unit calculating, on the basis of the frequency analysis, a measurement value of at least one type of feature amounts that characterizes a state of a target object moving in an observation space; and a learned data storing unit storing at least one learned data set that defines a probability distribution in which the at least one types of feature amounts is measured when a recognition targets is observed in the observation space. The target object discriminating unit calculates a posterior probability that a target object belongs to each of class(es) from the measurement value using a learned data set and discriminates the target object on the basis of the calculated posterior probability.

Abstract: An angle measuring device includes: a signal extracting unit for extracting a signal that includes a first reflection wave and does not include a second reflection wave as a first demodulated signal and a signal that includes the second reflection wave and does not include the first reflection wave as a second demodulated signal from reception signals output from one or more reception antennas among a plurality of reception antennas; an elevation calculating unit for calculating an elevation of a target by performing monopulse angle measurement using a sum signal of the first demodulated signal and the second demodulated signal and a difference signal between the first demodulated signal and the second demodulated signal; and an azimuth calculating unit for calculating an azimuth of the target using reception signals output from the plurality of reception antennas.

Abstract: A radar image processing device includes a phase difference calculating unit calculating a phase difference between phases with respect to a first and a second radio wave receiving points in each pixel at corresponding pixel positions among pixels in a first and a second suppression ranges, the first and the second suppression ranges being suppression ranges in a first and a second radar images capturing an observation area from the first and the second radio wave receiving points, respectively; and a rotation amount calculating unit calculating each phase rotation amount in the pixels in the second suppression range from each phase difference, wherein a difference calculating unit rotates phases in the pixels in the second suppression range based on the rotation amounts, and calculates a difference between pixel values at corresponding pixel position among the pixels in the first suppression range and phase-rotated pixels in the second suppression range.

Abstract: A radar image processing device includes a phase difference calculating unit for calculating a phase difference, which is the difference between the phases, with respect to the radio wave receiving points different from each other, of each of a plurality of reflected signals present in one pixel, and the rotation amount calculating unit that calculates each of the phase rotation amounts in a plurality of pixels included in the second radar image from the respective phase differences, in which the difference calculating unit rotates the phases in the plurality of pixels included in the second radar image on the basis of the respective rotation amounts, and calculates a difference between pixel values of pixels at corresponding pixel positions among the plurality of pixels included in the first radar image and the plurality of pixels obtained by the phase rotation included in the second radar image.

Abstract: There are provided an azimuth Fourier transform unit that transforms a SAR image into components in a Doppler frequency band, a band cutting-out unit that cuts out sub-band components from the components in the Doppler frequency band, and an azimuth inverse Fourier transform unit that transforms the sub-band components into sub-images, respectively. An image reconstructing unit extracts, for each area irradiated with a beam, a pixel sequence corresponding to the irradiated area from each of the sub-images, and collects the plurality of extracted pixel sequences to construct images for video.

Abstract: A signal processor 2 is configured so as to compensate for a peak shift of the distance between an SAR sensor 1 and a target, the peak shift occurring in the received signal subjected to range compression performed by an image reconstruction processing unit 14 due to a movement of the SAR sensor 1 during a time period until a reflected wave of a pulse signal is received by the SAR sensor 1 after the pulse signal is emitted from the SAR sensor 1. As a result, even when the SAR sensor 1 moves, an SAR image in which no azimuth ambiguity occurs can be reconstructed.

Abstract: There are provided an azimuth Fourier transform unit that transforms a SAR image into components in a Doppler frequency band, a band cutting-out unit that cuts out sub-band components from the components in the Doppler frequency band, and an azimuth inverse Fourier transform unit that transforms the sub-band components into sub-images, respectively. An image reconstructing unit extracts, for each area irradiated with a beam, a pixel sequence corresponding to the irradiated area from each of the sub-images, and collects the plurality of extracted pixel sequences to construct images for video.

Abstract: A signal processor 2 is configured so as to compensate for a peak shift of the distance between an SAR sensor 1 and a target, the peak shift occurring in the received signal subjected to range compression performed by an image reconstruction processing unit 14 due to a movement of the SAR sensor 1 during a time period until a reflected wave of a pulse signal is received by the SAR sensor 1 after the pulse signal is emitted from the SAR sensor 1. As a result, even when the SAR sensor 1 moves, an SAR image in which no azimuth ambiguity occurs can be reconstructed.

Abstract: A passive radar device includes: a pulse-by-pulse range compression unit executing cross-correlation processing between received signals of a direct wave and scattered wave on each of pulses divided by a direct-wave reception unit and a scattered-wave reception unit, and calculating a pulse-by-pulse range profile; a block-by-block Doppler processing unit calculating a first Doppler frequency spectrum by executing pulse-direction Fourier transform in block units each grouping plural pulses; a Doppler frequency cell-associated range migration compensation unit compensating a range-direction movement amount with respect to the first Doppler frequency spectrum on a Doppler-frequency-cell-by-Doppler-frequency-cell basis and on a block-by-block basis; and a block-direction Doppler processing unit calculating a second Doppler frequency spectrum by executing block-direction Fourier transform on an output from the Doppler frequency cell-associated range migration compensation unit.

Abstract: A polygon pattern generating unit 6 to extract a plurality of luminance points from a dictionary image of each group to generate a dictionary polygon pattern whose vertices are the plurality of luminance points, and extract a plurality of luminance points from an observation image to generate a target polygon pattern whose vertices are the plurality of luminance points, and a pattern comparing unit 10 to perform a comparison of the dictionary polygon pattern of each group and the target polygon pattern are disposed, and a type determining unit 15 determines the type of an unknown target by using the result of the comparison of the patterns which is performed by the pattern comparing unit 10.