Denso Corporation

Hitachi, Ltd.

Denso Corpora Tion

Musashino Chemical Laboratory, Ltd.

Koichiro Suzuki

Chiharu Yamano

Gaku Takano

Mai Sakamoto

Kazuma Natsume

Akiyoshi Mizutani

Naotsugu Shimizu

Yuu Watanabe

Yasuyuki Miyake

Kunihiko Chiba

Takayuki Kitamura

Miki Satou

Mitsutoshi Morinaga

Takahiro Yurugi

Tsuyoshi Aoki

Yukiko Tokushige

Jun Machida

Yasuo Matsuoka

Norikazu Ikoma

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.

Tracking apparatus, tracking method, and non-transitory storage medium storing tracking program

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.

Object identification apparatus, moving body system, object identification method, object identification model learning method, and object identification model learning apparatus

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.

Other lane monitoring device

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.

Radar device and method of detecting object using radar device

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.

Apparatus for monitoring adjacent lanes

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. A parameter updating unit updates the targeting threshold so as to be a larger value as the number of erroneous detections increases when the rainy-weather determining unit determines that the weather is rainy.

Radar apparatus and signal processing method of radar apparatus

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.

Estimation apparatus

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.

On-vehicle radar apparatus capable of recognizing radar sensor mounting angle

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.

Method for purifying aliphatic polyester and aliphatic polyester purified with said method

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 fcorresponding to the frequency of the reflection components. A second eigenvalue &#x3bb;of a correlation matrix: Ry=(&#xbd;)&#xb7;[y,y][y,y]is calculated, the matrix being based on first received vector y/second received vector yhaving elements that are Fourier transformed values of the peak frequency f. Based on the magnitude of the eigenvalue &#x3bb;, whether or not the reflection components corresponding to the peak frequency fare synthetic components of the reflected waves from a plurality of targets is decided.

Radar apparatus

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.

Mobile x-ray diagnostic apparatus and method for controlling mobile x-ray diagnostic apparatus

In a system, a detecting module cyclically detects positional information of reflection points of received echoes. A sampling module cyclically samples, from the detected reflection points for each cycle, first and second reflection points. The first and second reflection points are expected to be reflection points of the respective first and second reflective portions of a moving object in front of the system. A first determining module determines whether a distance between the first and second reflection points varies over time. A second determining module determines that the first and second reflection points correspond to reflection points of the respective first and second reflective portions of a single moving object when it is determined that the distance between the first reflection point and the second reflection point is substantially invariant over time.

Moving object detection system

A signal processing unit in a radar device calculates a change amount Y (=log(P)&#x2212;log(Pb)) between a power P of a current arrival echo and a power of a previous arrival echo arrived before an observation period T. A memory unit in the radar device stores, every type of objects, a probability distribution of the change amount Y calculated from the arrival echo from the object. On the basis of the calculated change amount Y and the probability distribution, the signal processing unit determines a probability Pr to obtain the change amount Y every type of object, and determines that the object having the maximum probability Pr is the object which transmits the current arrival echo.

Radar device

In a radar with a non-uniformly spaced antenna array, an extractor estimates a number of arrivals of echoes to the antenna array. A setter sets a number of azimuths corresponding to a number of extracted peaks as a number of tested azimuths greater than the number of arrivals of echoes by a preset number. A determiner determines a level of correlations among steering vectors respectively corresponding to the tested azimuths. A selector selects, from the tested azimuths, azimuths as power-estimation targets based on the determined level of the correlations among the steering vectors. A first estimator estimates a received power level from each power-estimation target. A second estimator estimates, from the power-estimation targets, an azimuth of the target based on the estimated received power level from each power-estimation target. The estimated received power level from the azimuth is equal to or greater than a preset threshold level.

Radar with non-uniformly spaced antenna array

An electronic scanning radar apparatus has a cutting portion for cutting receiving data which is comprised of N numbers of data for each channel into two more short time data having M (&#x3c;N) numbers of data in a time direction for each channel, an inverse matrix estimator for computing and estimating an inverse matrix of the time series correlation matrix from the short time data, and a phase information producing portion for computing CAPON phase information out of the estimated inverse matrix of the time series correlation matrix in order to detect a distance, an azimuth and a relative speed of a target on the basis of a computed CAPON phase information.

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Yokohama, Japan

Koichiro Suzuki