Nissan Motor Company Limited

Hitachi, Ltd.

Hodogaya Chemical Co., Ltd.

Unisia Jkc Steering Systems Co., Ltd.

Hitachi Machinery and Engineering, Ltd.

Hiroshi Satoh

Hidekazu Nishiuchi

Takahiko Kato

Toshimi Abo

Mitsunori Nakamura

Yoshimi Yanai

Gen Murakami

Ichiro Anjoh

Michiya Okada

Masahiro Iriyama

Masamichi Ishihara

Yasunori Yamaguchi

Toshiyuki Sakuta

Yasuhiro Kasama

Eiji Miyamoto

Kazuhide Tanaka

Kazuya Ito

Ikuhiro Taniguchi

Haruo Matsuo

Tetsu Udagawa

Toshiya Doi

Toshimi Matsumoto

Satoshi Oguchi

Daiki Yamanoi

Akira Okayama

Nobuo Kaifu

Yosuke Matsuno

Tadaoki Morimoto

Toshiyuki Andou

Youichi Matsuno

Atsusi Nozoe

Keisuke Suzuki

Katsunori Oshiage

Nobutaka Takahashi

Masaki Watanabe

Yasuo Kondo

Toshio Matsumura

Takanobu Mori

Katsumoto Otake

Kimihiko Akahori

Masafumi Tsuji

Yoshiteru Chiba

Takuya Sasaki

Yasuo Fujitani

Shogo Kitano

Yoshio Sumiya

Hideyuki Ishii

Shigeo Oda

Keizo Ishida

Shinichi Nishioka

Tokunori Matsushima

Hideki Kon

Makoto Yanagihara

Toshihiko Kaneko

Shigeo Hattri

An image taking unit takes an image by exposing three color light receivers and an invisible light receiver. The three color light receivers are sensitive to light in an invisible region emitted by an invisible light projector, and concurrently sensitive to the respective three primary colors of light. The invisible light receiver is sensitive to the light in the invisible region emitted by the invisible light projector. A marker pulse generator generates an exposure timing pulse for the image taking unit, and an emission timing pulse for the invisible light projector on the basis of a reference signal. A color image creator creates a color image from outputs from the respective color light receivers. A synchronous detection processor creates a detection image by performing a synchronous detection process on the outputs from the color light receivers and the invisible light receiver by use of the reference signal.

Camera apparatus and image processing method

An antenna device includes a plurality of antenna elements respectively configured to receive incident waves coming from an object, a modulating unit respectively configured to modulates a first received signal of the incident waves output from the antenna elements into a second received signal, the second received signals having a plurality of different frequencies and phases corresponding to polarization directions of the received incident waves, a synthesizing unit configured to synthesize the plurality of second received signals and generates a synthetic signal, a signal processing unit, configured to perform predetermined signal processing on the synthetic signal, and an extracting unit configured to extract third received signals for each frequency and each phase from the synthetic signal on which has been performed the predetermined signal processing.

Antenna device and signal processing method

A traffic signal recognition apparatus acquires image data by imaging the surroundings of a vehicle, detects a self-position of the vehicle, and detects, in the image, a traffic signal around the vehicle. The traffic signal recognition apparatus identifies two or more of the traffic signal predicted to be captured in the image, based on information on the self-position and map information containing positional information on the traffic signals, and assigns a priority level to each of the two or more traffic signals thus identified, based on a possibility of the traffic signal being blocked out of sight. When the two or more traffic signals are identified, the traffic signal detected in the image is a traffic signal with a highest priority level among the two or more traffic signals.

Traffic signal recognition apparatus and traffic signal recognition method

A target detection apparatus acquires an image by imaging the surroundings of a vehicle, detects a self-position of the vehicle based on an amount of movement of the vehicle from an initial position thereof, and estimates a relative position of a target, located around the vehicle, with respect to the vehicle based on the self-position and information on a position of the target on a map. The target detection apparatus sets a detection area for the target within the image based on the relative position of the target with respect to the vehicle, and detects the target from the detection area. The target detection apparatus estimates error contained in the self-position based on the amount of movement of the vehicle from the initial position, and adjusts the size of the detection area for the target according to the error.

Target detection apparatus and target detection method

A radio waves receiving unit receives horizontally polarized waves and vertically polarized waves of radio waves radiated from an object at a radiation angle. An image generation unit generates a horizontally polarized waves image and a vertically polarized waves image based on the horizontally polarized waves and the vertically polarized waves, respectively. A polarization ratio calculation unit calculates, for each radiation angle, a polarization ratio which is a ratio of intensity of the horizontally polarized waves to the vertically polarized waves based on the horizontally polarized waves image and the vertically polarized waves image. A refractive index calculation unit calculates a refractive index of the object based on a change between polarization ratios of two different radiation angles. A road surface condition recognition unit recognizes a condition of a road surface based on the refractive index.

Road surface condition detection device and road surface condition detection method

An image taking unit takes an image by using a specific light projector which emits specific light in a wavelength region corresponding to one of the three primary colors of light and by exposing light receivers which are sensitive to light in wavelength regions corresponding to the three primary colors of light. A marker pulse generator generates an exposure timing pulse for the image taking unit, and an emission timing pulse for the specific light projector on the basis of a reference signal. A color image creator creates a color image from an image taken by the image taking unit. A synchronous detection processor creates a detection image by performing a synchronous detection process on the image taken by the image taking unit by use of the reference signal.

Camera apparatus and image processing method with synchronous detection processing

A vehicle detection device includes: an antenna configured to sense electromagnetic waves; an image generation unit configured to generate a radio wave image; a road surface region detection unit configured to detect a road surface region in the radio wave image; a symmetry axis setting unit configured to set a first symmetry axis at a part of the boundary of the road surface region; a road surface reflection region setting unit configured to set a horizontal central line at a center of the radio wave image and set a road surface reflection region between the central line and the first symmetry axis; and a vehicle detection unit configured to compare the waveform of pixel outputs in the road surface reflection region with the waveform of pixel outputs in the road surface region and to detect the road surface reflection region as a vehicle.

Vehicle detection device and vehicle detection method

An image processor, includes: an image pickup part configured to pick up a pickup image of a certain area; an irradiator configured to irradiate at least a part of the certain area for the pickup image picked up by the image pickup part; an extractor configured to extract, as an irradiation image, a light irradiated from the irradiator, the irradiation image being extracted from the pickup image picked up by the image pickup part; an image generating part configured to generate an irradiation removed image which is obtained by removing the irradiation image from the pickup image; an object recognizer configured to recognize an object in the certain area, based on the irradiation removed image generated by the image generating part; and a distance sensor configured to sense a distance to the object sensed by the object recognizer.

Image processor and image processing method to sense an object and the distance to object

A vehicle-mounted image-processing device and method is provided to remove fixed pattern noise from images due to the image pickup element. Images captured consecutively with a camera are superimposed and stored in an image memory. A controller extracts the high spatial frequency component from the stored images, and the images are corrected with the extracted high spatial frequency component used as the correction data for removing the fixed pattern noise.

Image processing device and method

A peel-treating agent comprising a reaction product of an aliphatic isocyanate having an aliphatic group of at least 8 carbon number with an ethylene/vinyl alcohol copolymer or polyvinyl alcohol as an effective component, wherein a bisurea form content in the reaction product is at most 3 wt %.

Peel-treating agent and method for producing the peel-treating agent

In steering control apparatus and method for an automotive vehicle, a camera photographs a travel path in a traveling direction of a vehicle, a lateral displacement calculating circuit calculates a lateral displacement of the vehicle with respect to the travel path according to an image of the travel path photographed by the camera, a differentiator calculates a differential value of the lateral displacement, a vehicle speed sensor that detects a vehicle speed, a relative yaw rate calculating section calculates a relative yaw rate with respect to the travel path of the vehicle on the basis of the lateral displacement, the differential value of the lateral displacement, and the vehicle speed, an actuator provides an assistance force for the steering mechanism, and an actuator controlling section drivingly controls the actuator in a direction toward which the relative yaw rate is cancelled on the basis of the relative yaw rate.

Steering control apparatus and method for automotive vehicle

Outputs of pixels present around a given pixel at an image-capturing unit having a plurality of pixels disposed two-dimensionally are added to the output of the given pixel. During this process, the addition pattern with which the pixel outputs are added together is determined in correspondence to a specific type of image processing to be executed at a subsequent stage, and an image is generated by adding together the pixel outputs constituting image signals output from the image-capturing unit based upon the addition pattern. The image resulting from the addition then undergoes the image processing and the processed image is output.

Image-capturing apparatus

A vehicular image processing apparatus and related method are disclosed as having a high speed camerathat picks up an image of a surrounding of a vehicle, a low speed image extracting unitextracting an image calculated with a low speed area calculating unita high speed image extracting unitextracting other image than that calculated with the low speed area calculating unitand an image outputting unitsynthesizing image information extracted with the high image extracting unitand image information related to the image of the low speed area to provide an output which is applied to an image recognition deviceto detect an obstacle around the vehicle or a road shape. A frame rate adjusting unitenables the output image of the low speed image extracting unitto be applied to the image outputting unit

Vehicular image processing apparatus and related method

In apparatus and method for detecting a traffic lane mark for an automotive vehicle, a plurality of traffic lane detection windows are set in a manner for the traffic lane to be included in each traffic lane detection window from an image data photographed by a photograph device, the traffic lane mark is detected from a luminous intensity information within each traffic lane detection window of each coordinate point, a plurality of noise detection windows are set at positions which abut the respective traffic lane detection windows, an edge intensity within each noise detection window is detected; a weight value to a predetermined number of the traffic lane detection windows is modified in accordance with the edge intensity in the noise detection window; and a road contour is calculated using the traffic lane detected at the window internal traffic lane detecting and the modified weight value.

Apparatus and method for detecting traffic lane mark for automotive vehicle

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Yokohama, Japan

Hiroshi Satoh