Abstract: In one embodiment, a contact-surface determination apparatus includes processing circuitry. This processing circuitry acquires an image depicting a contact surface of a ultrasonic probe, and determines a state of the contact surface of the ultrasonic probe on the basis of the acquired image.

Abstract: A target object is tracked based on dimensional information of an observation space including a relative velocity of the target object with respect to a sensing device for observing a reflection wave from the target object. An estimation state is acquired by estimating a state of the target object at a specific time. A reflection source of the reflection wave that gives an observation point observed at the specific time is assumed with respect to the estimation state. A state validity of the estimation state is acquired. The estimation state is updated based on the state validity expressed including a difference between dimensional information of the reflection source projected onto the observation space in the estimation state and the observation information.

Abstract: An object model learning method includes: in an object identification model forming a convolutional neural network and a warp structure warping a feature map extracted in the convolutional neural network to a different coordinate system, preparing, in the warp structure, a warp parameter for relating a position in the different coordinate system to a position in a coordinate system before warp; and learning the warp parameter to input a capture image in which an object is captured to the object identification model and output a viewpoint conversion map in which the object is identified in the different coordinate system.

Abstract: An other lane monitoring device of the present disclosure includes an other vehicle acquisition section, a path acquisition section, a lane estimation section, and a position estimation section. The other vehicle acquisition section is configured to acquire other vehicle position information that indicates the current position of an other vehicle near the own vehicle. The path acquisition section is configured to acquire an own vehicle travel path that indicates a path along which the own vehicle has traveled. The lane estimation section is configured to use the own vehicle travel path as a basis for estimating an other lane area that is a lane where the other lane is present. The position estimation section is configured to estimate a future position of the other vehicle, assuming that the other vehicle moves along the own vehicle travel path or in the other lane area.

Abstract: A tracking apparatus which tracks a target includes a predilection unit, correction unit, and updating unit. The prediction unit predicts the state distribution of the target at a specific time. The correction unit, for at least one observation point of the target, that is observed at the specific time, uses a likelihood function to define a degree of certainty of the state distribution predicted by the prediction unit, and corrects the likelihood function depending on the number of observation points. The updating unit updates the state distribution at the specific time based on the likelihood function corrected by the correction unit.

Abstract: An object model learning method includes: in an object identification model forming a convolutional neural network and a warp structure warping a feature map extracted in the convolutional neural network to a different coordinate system, preparing, in the warp structure, a warp parameter for relating a position in the different coordinate system to a position in a coordinate system before warp; and learning the warp parameter to input a capture image in which an object is captured to the object identification model and output a viewpoint conversion map in which the object is identified in the different coordinate system.

Abstract: In a vehicle system, a space area estimation method, or a space area estimation apparatus, an outside of a vehicle is captured, and an image is generated. An object causing a blind angle in the image is recognized. A depth of the recognized object is estimated. An inside of a blind angle area formed by the object is estimated.

Abstract: A radar device calculates positions and relative velocities of points of reflection from an FMCW beat signal, extracts stationary reflection points each being a point of reflection having a relative velocity of zero, and sets, for each of the stationary reflection points, an object area estimated to contain an object including the stationary reflection point. The radar device calculates positions and relative velocities of points of reflection from a 2CW beat signal from which a DC component has been removed, extracts in-area reflection points each being a point of reflection that belongs to the object area. The radar device then computes, for each of the in-area reflection points, a cross velocity that is a velocity of the in-area reflection point in a cross-range direction, and statistically processes calculated cross velocities for each of the object areas. The radar device calculates an estimated value of a cross velocity of an object.

Abstract: An other lane monitoring device of the present disclosure includes an other vehicle acquisition section, a path acquisition section, a lane estimation section, and a position estimation section. The other vehicle acquisition section is configured to acquire other vehicle position information that indicates the current position of an other vehicle near the own vehicle. The path acquisition section is configured to acquire an own vehicle travel path that indicates a path along which the own vehicle has traveled. The lane estimation section is configured to use the own vehicle travel path as a basis for estimating an other lane area that is a lane where the other lane is present, the other lane being different from an own lane where the own vehicle is present. The position estimation section is configured to estimate a future position of the other vehicle indicated by the other vehicle position information, assuming that the other vehicle moves along the own vehicle travel path or in the other lane area.

Abstract: In an apparatus for monitoring an adjacent lane to a lane in which an own vehicle that is a vehicle carrying the apparatus is traveling, a travel trajectory calculation unit calculates a travel trajectory of the own vehicle based on odometry information of the own vehicle. An adjacent lane estimation unit estimates an adjacent-lane region based on the travel trajectory of the own vehicle. An other-vehicle determination unit determines whether or not a target (the other vehicle) is present in the adjacent lane based on a position of the target detected by an other-vehicle detector and the estimated adjacent-lane region.

Abstract: A radar device calculates positions and relative velocities of points of reflection from an FMCW beat signal, extracts stationary reflection points each being a point of reflection having a relative velocity of zero, and sets, for each of the stationary reflection points, an object area estimated to contain an object including the stationary reflection point. The radar device calculates positions and relative velocities of points of reflection from a 2CW beat signal from which a DC component has been removed, extracts in-area reflection points each being a point of reflection that belongs to the object area. The radar device then computes, for each of the in-area reflection points, a cross velocity that is a velocity of the in-area reflection point in a cross-range direction, and statistically processes calculated cross velocities for each of the object areas. The radar device calculates an estimated value of a cross velocity of an object.

Abstract: A radar apparatus includes a targeting unit that irradiates a radar wave and recognizes a detection subject using a reflected wave thereof. The targeting unit extracts, as a target, a peak that is confirmed to have historical connection over measurement cycles equal to or more than a predetermined targeting threshold, from peaks extracted from a power spectrum generated by frequency analysis. A rainy-weather determining unit determines that weather is rainy when a number of erroneous detections is greater than a predetermined rainy-weather determination threshold. The number of erroneous detections is a number of peaks that have been detected in a previous measurement cycle or earlier by the targeting unit and are not confirmed to have historical connection to a peak detected in a current measurement cycle.

Abstract: An estimation apparatus includes a distance estimator. The distance estimator performs regression analysis using, as samples, an observation of distance and an observation at each time within a predetermined period obtained by an observer. The estimation apparatus estimates that a value of the distance upon a value of a displacement calculated in accordance with a regression equation based on the regression analysis being zero shows a value of the distance to the forward object at a start time.

Abstract: An on-vehicle radar apparatus includes a radar sensor and a mounting angle calculation section that calculates a mounting angle of the radar sensor, and the radar sensor is mounted on a vehicle so that a sensing area includes a direction of 90 degrees relative to a front-back direction of the vehicle and detects a relative speed to an observation point at which the radar wave is reflected in the sensing area and an azimuth at which the observation point is located. The mounting angle calculation section calculates a mounting angle of the radar sensor from an azimuth of a speed zero observation point, the speed zero observation point being the observation point with a relative speed of zero.

Abstract: In an apparatus for monitoring an adjacent lane to a lane in which an own vehicle that is a vehicle carrying the apparatus is traveling, a travel trajectory calculation unit calculates a travel trajectory of the own vehicle based on odometry information of the own vehicle. An adjacent lane estimation unit estimates an adjacent-lane region based on the travel trajectory of the own vehicle. An other-vehicle determination unit determines whether or not a target (the other vehicle) is present in the adjacent lane based on a position of the target detected by an other-vehicle detector and the estimated adjacent-lane region.

Abstract: Provided is a method for purifying an aliphatic polyester which reduces coloring of the aliphatic polyester, reduces the amount of residual monomer and residual catalyst, and improves stability and appearance. This method for purifying an aliphatic polyester subjects an aliphatic polyester containing a monomer to heat treatment under dry air containing oxygen at a temperature at or above the melting point of the monomer and at or below the melting point of the aliphatic polyester.

Abstract: A radar apparatus includes a targeting unit that irradiates a radar wave and recognizes a detection subject using a reflected wave thereof. The targeting unit extracts, as a target, a peak that is confirmed to have historical connection over measurement cycles equal to or more than a predetermined targeting threshold, from peaks extracted from a power spectrum generated by frequency analysis. A rainy-weather determining unit determines that weather is rainy when a number of erroneous detections is greater than a predetermined rainy-weather determination threshold. The number of erroneous detections is a number of peaks that have been detected in a previous measurement cycle or earlier by the targeting unit and are not confirmed to have historical connection to a peak detected in a current measurement cycle.

Abstract: In a dual-frequency CW radar apparatus, first/second beat signals that include reflection components of radar waves conforming to transmission signals of first/second frequencies are generated for each antenna element and the generated signals are Fourier transformed. A power spectrum average of the beat signals is used as a basis for the detection of a peak frequency fp corresponding to the frequency of the reflection components. A second eigenvalue ?2 of a correlation matrix: Ry=(½)·[y1,y2][y1,y2]H is calculated, the matrix being based on first received vector y1/second received vector y2 having elements that are Fourier transformed values of the peak frequency fp. Based on the magnitude of the eigenvalue ?2, whether or not the reflection components corresponding to the peak frequency fp are synthetic components of the reflected waves from a plurality of targets is decided.

Abstract: The problem addressed by the invention is to always keep an imaging angle of an X-ray detector to an object constant before and after an imaging unit is moved. In order to solve the problem, a mobile X-ray diagnostic apparatus related to the present invention detects a rotation amount of a main body in a horizontal surface due to movement on a floor surface and controls rotation drive of the X-ray detector based on a detection result.

Abstract: Provided is a method for purifying an aliphatic polyester which reduces coloring of the aliphatic polyester, reduces the amount of residual monomer and residual catalyst, and improves stability and appearance. This method for purifying an aliphatic polyester subjects an aliphatic polyester containing a monomer to heat treatment under dry air containing oxygen at a temperature at or above the melting point of the monomer and at or below the melting point of the aliphatic polyester.