Kabushiki Kaisha Toshiba

Toshiba Tec Kabushiki Kaisha

Denso Corporation

Other

Denso Wave Corporation

Denso It Laboratory, Inc.

Gaku Takano

Hiroki Kanno

Yasuyuki Miyake

Naofumi Yamamoto

Kazuma Natsume

Eiichi Sakaue

Chiharu Yamano

Koichiro Suzuki

Tetsuya Iwasaki

Takahiro Fuchigami

Wataru Kobori

Asahi Kondou

Akiyoshi Mizutani

Haruko Kawakami

Kunihiko Ito

Yasushi Sakuma

Yuuichi Akiyama

Miki Satou

Shoji Katsura

Keiji Matsumoto

An arithmetic processor is provided to detect a background even when observed data values vary. The processor includes a background candidate data memorystoring data as a background candidate. In the data, an observation count, as the number of times of obtaining the same observation data, is correlated with distance data representing the observed data. The processor also includes a ranking sectionranking background candidates using the observation count as a basis; an observation count update sectioncomparing observed data with a background candidate stored in the memoryto find a match, counting observations of the background candidate if there is a match, and replacing distance data of a lowest-ranked background candidate with the observed data if there is no match; and a background determination sectiondetermining there are two backgrounds if the top two background candidates remain unchanged for a predetermined period.

Arithmetic processor, arithmetic processing method, and computer readable medium storing computer program

An object detection apparatus measures a distance to a detected object at each irradiation angle, based on reflected waves of electromagnetic waves irradiated from a laser light irradiating unit at each irradiation angle. The apparatus determines whether the measured distance remains unchanged for prescribed period of time, for each irradiation angle, and stores the determined distance in a storage unit as a stationary object distance in association with the irradiation angle. The apparatus compares the current measured distance and the stored distances, and determines whether a stationary object distance matching the current distance is present among the stored distances. The apparatus initially compares the shortest stationary object distance among the stored distances with the current distance, and upon determining that a stationary object distance matching the current distance is present, stops the comparison of the current distance and the stored distances that have not been compared with the current distance.

Object detection apparatus and object detection program

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

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

An observation signal processing apparatus transmits a pulse signal as a search signal, generates an observation value based on a reflected signal against a target and a delay modulation pulse signal, and performs coherent integration on the observation value to output an integration value. The apparatus includes a section for determining a coherent integration count, a section for transmitting pulse signals equivalent to the coherent integration count, a section for calculating a phase correction amount based on an estimated relative speed, and a section for performing phase-weighted coherent integration on observation values for the number of times equivalent to the coherent integration count based on the phase correction amount.

Observation signal processing apparatus

An observation signal processing apparatus transmits pulse signals as search signals per each search, generates observation values based on reflected signals against a target and delay modulation pulse signals, and performs coherent integration on the observation values to output an integration value. The apparatus includes a section for storing a coherent integration count, a section for transmitting pulse signals equivalent to the coherent integration count, a section for calculating a phase correction amount based on an estimated relative speed, and a section for performing phase-weighted coherent integration on the observation values based on the phase correction amount.

A multi-function image processing apparatus includes a system control unit that receives an image processing job sent over a network by a requesting device, and that controls operation of the image processing apparatus. The apparatus includes an image recording unit that performs a printing operation. The apparatus also includes a scanner that scans data provided to the apparatus. The apparatus further includes an image processing unit that receives scan data from the scanner, that performs image processing on the scan data, and that outputs image-processed scan data to the image recording unit for printing of the image-processed scan data. The apparatus also includes an interface unit that transfers image data between the image processing unit and the system control unit in at least one mode of operation of the image processing apparatus. The image processing unit includes a first FIFO and a second FIFO for bypassing the interface unit under certain situations.

Multi-function image processing apparatus and method

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.

Electronic scanning radar apparatus

When a plurality of image data are to be compressed, an image correlation information extraction unit extracts respective image correlation information of image data, using first image data as reference image data. An encoding unit compresses the extracted image correlation information to produce encoded data. A data output unit outputs the compressed data and the reference image data to a page memory. When the compressed data are to be restored, a data input unit supplies the image correlation data input from the page memory to an image correlation information decoding unit, and supplies the reference image data to an image restoring unit. The image correlation information decoding unit decodes the image correlation data into the respective image correlation information and supplies the image correlation information to the image restoring unit. The image restoring unit restores the plural image data from the respective image correlation information and the reference image data.

Image processing apparatus and image processing method

A radar signal processor is disclosed having an observation mechanism for receiving a reflected wave from a target and for outputting a predetermined observation signal. The processor extracts a distance component corresponding to a distance from each observation signal. The processor further collects the respective distance components and computes an estimated value of a corresponding correlation matrix with a forgetting factor as a parameter using a method for estimating correlation matrix with exponential smoothing. The processor further estimates the presence or movement state of the target on the basis of the respective estimated values of the correlation matrices and outputs the computed values.

Radar signal processor

A radar signal processor has observation means for outputting a predetermined observation signal from a reflected wave, means for extracting an observation signal component concerning a target from the observation signal, means for computing a sample correlation matrix showing a correlation characteristic between the observation means from the observation signal components, means for estimating power of the reflected wave from the sample correlation matrix, and an array response matrix which is comprised of response vectors of the reflected waves. When estimating the power, an adjacent azimuth array response matrix having only the reflected waves of a predetermined arrival direction which power is to be estimated and the reflected waves of an azimuth adjacent to the reflected wave as elements is determined so as to estimate the power of the reflected wave.

Reflected wave power estimation device in a radar signal processor

A system and method for printing an image on a document by generating RGB data from a scanned image, converting the RGB data to CMYK data and identifying one of a first and a second type of screening. The type of screening is identified for a first one of the CMYK data based upon the density of the first one of the CMYK data and the density of at least one of the other CMYK data.

Image processing system and method for screening

An image processing apparatus extracts a contour pixel of a binary input image signal in a contour pixel extraction portion, and calculates a line thinning amount from the extracted contour pixel based on a preset parameter in a line thinning amount calculation portion. The apparatus judges whether black pixel areas of the binary input image signal are connected in a finite area including a target pixel in a finite area connectivity judgment portion. The apparatus adds a line thinning amount to the binary input image signal of the target pixel in accordance with the judgment by the finite area connectivity judgment portion and outputs obtained results in a selective correction output portion.

An image forming apparatus includes a first-image-reading-portion composed of a plurality of line sensors used to read a color image, a second-image-reading-portion composed of at least one line sensor used to read a monochrome image, a first-image-processing-portion which processes a first-image-signal processed and outputted by the first-image-reading-portion, a second-image-processing-portion which processes a second image signal processed and outputted by the second-image-reading-portion, a segmentation portion which outputs a segmentation signal indicative of an attribute of an image in accordance with at least one of the first and second image signals, and a signal switching portion which outputs at least one of a third image signal processed and outputted by the first-image-processing-portion and a fourth image signal processed and outputted by the second-image-processing-portion based on the segmentation signal.

Growing community of inventors

Yokohama, Japan

Gaku Takano