Clarion Co

Honda Motor Co., Ltd.

Faurecia Clarion Electronics Co., Ltd.

Ohtsuka Poly-tech Co., Ltd.

Yoshitaka Uchida

Masahiro Kiyohara

Takehito Ogata

Takeshi Hashimoto

Masahiro Hamatsu

Mamoru Endo

Katsuo Onozaki

Mitsuo Nakajima

Masao Sakata

Kota Irie

Haruhiko Higuchi

Shigeo Akazawa

Shoji Muramatsu

Masaharu Mori

Hidenori Sakaniwa

Takayuki Shioya

Koichi Hamada

Kenji Kato

Naoki Shimizu

Takeshi Shima

Masayuki Takemura

Kimiyoshi Machii

Shinya Tagawa

Yasuhiro Akiyama

Toshiyuki Aoki

Noriyasu Hasejima

Morihiko Sakano

Takao Kurihara

Akira Utagawa

Daisuke Fukuda

Tetsuya Sugizaki

Hideyuki Kume

Toshihisa Kuwahara

Tomohiro Higaki

Daisuke Sugio

Kouichi Kato

Yasuo Terada

Kenta Takanohashi

Hiroyuki Nakamura

Yuta Ohizumi

Tomofumi Kuramitsu

Ryota Takahashi

Kenju Iwasaki

Takafumi Hagi

Hiroyuki Yokoyama

Kayoko Takeichi

Yasuhiko Nakano

An on-board outside recognition apparatus extracts a feature point from an image including an environment around a user's own vehicle, measures a three-dimensional position of the feature point based on movement of the feature point tracked in time series on the image and calculates a foot position of the feature point on the image from the three-dimensional position of the feature point is performed. Then, the on-board outside recognition apparatus extracts a road surface area where the user's own vehicle can travel, from the image using a degree of similarity of a texture of the image, and judges a feature point the foot position of which is judged not to be included in the road surface area to be highly reliable.

Outside recognition apparatus for vehicle

Provided is an on-vehicle processing device that can estimate the position of a vehicle with higher accuracy. A storage unit stores a parking lot point group including a plurality of coordinates of points of a part of an object in a parking lot coordinate system. A sensor input unit acquires peripheral information from a camera. A movement information acquisition unit acquires movement information. A local peripheral information creation unit generates local peripheral information expressing second point group data including a position of the vehicle in a local coordinate system and a plurality of coordinates of points of a part of the object in the local coordinate system on the basis of the peripheral information and the movement information. A position estimation unit estimates a correlation between the parking lot coordinate system and the local coordinate system on the basis of the parking lot point group and the local peripheral information, and estimates the position of the vehicle in the parking lot coordinate system from the position of the vehicle in the local coordinate system and the correlation.

On-vehicle processing device

A vehicle-mounted image processing deviceacquires an image around a host vehicle, senses a feature amount of a target object present on a road surface from the image, and relative position coordinates with respect to the host vehicle, acquires information of a three-dimensional object around the host vehicleand relative position coordinates of the three-dimensional object, distinguishes whether the feature amount is a feature amount of a feature on the road surface or a feature amount of a feature on the three-dimensional object by using a positional relationship between the feature amount and the three-dimensional object, and recognizes the target object by using a feature on the road surface. As a result, a vehicle-mounted image processing device, which is capable of avoiding misrecognition of a part of a three-dimensional object as a target object when sensing the target object present on a road surface such as a parking bay by using a camera image, is provided.

Vehicle-mounted image target objection recognition device

The objective of the present invention is to provide an object detection method such that an object such as a vehicle can be detected from an image captured by an on-board camera even when a lens of the on-board camera is dirty. In order to achieve the objective, in this object detection method for detecting an object included in a captured image, an original image including the object to be detected is prepared from the captured image, a processed image is generated from the prepared original image by applying predetermined processing to the original image, and learning regarding restoration of an image of the object to be detected is performed using the original image and the processed image.

Object detection method and object detection system

A video display system performs a video conversion process on a video of a camera mounted on a vehicle and displays a resulting video, and includes a plurality of cameras, a detecting unit that detects an object of interest around the vehicle based on information or the like acquired through the plurality of cameras, other sensors, or a network, a transforming/synthesizing unit that transforms and synthesizes the videos photographed by the plurality of cameras using a shape of a virtual projection plane, a virtual viewpoint, and a synthesis method which are decided according to position information of the object of interest detected by the detecting unit, and a display unit that displays the video that is transformed and synthesized by the transforming/synthesizing unit.

Video synthesis system, video synthesis device, and video synthesis method

An image generation device performs coordinate transformation, based on a coordinate transformation table, to a two-dimensional first image having a span in a horizontal direction and a vertical direction and acquired by overlooking and imaging an object from a first viewpoint at a first depression angle, and generates and outputs a second image which was obtained by overlooking the object from a second viewpoint which is different from the first viewpoint at a second depression angle which is different from the first depression angle. The coordinate transformation table is a table for transforming coordinates of a plurality of first selected pixels selected from a plurality of first pixels constituting the first image into coordinates of second selected pixels corresponding to a plurality of second pixels constituting the second image.

Image generation device, coordinate transformation table creation device and creation method

The obstacle detection device comprises: a first camera installed on a moving vehicle used for photographing a frontward or rearward view of the vehicle; a second camera installed on the vehicle used for photographing a sideward view of the vehicle; a parking space detection unit for detecting a parking space on the basis of an image obtained by photographing by the first camera; a memory unit for storing a real-space area of the parking space; a motion acquisition unit for acquiring information about behaviors of the vehicle; an obstacle calculation unit for calculating information about an obstacle present in the vicinity of the parking space on the basis of multiple images obtained by photographing by the second camera at different points in time; and a processing area setting unit for controlling, the calculation by the obstacle calculation unit.

Obstacle detection device

A position of a moving object is reliably detected with high accuracy using only an image around a vehicle. A rear camera mounted on a vehicle obtains an original image around the vehicle, a movement region detector detects a moving object from the original image, and a difference calculator detects the moving object from a bird's-eye view image of the vehicle generated by a bird's-eye view image processor. A moving object position identifying part identifies a position of the moving object based on a distance from the vehicle to the moving object detected by the movement region detector or the difference calculator, a lateral direction position of the moving object, and an actual width of the moving object detected by the movement region detector when a detected object determination part determines that the moving objects detected by the movement region detector and the difference calculator are the same moving object.

External environment recognizing device for vehicle and vehicle behavior control device

An in-vehicle image processing device processes camera images to determine a parkable area and includes an overhead image generation section generating an overhead image relative to a road surface by converting the view point of an image of a nearby vehicle and the road surface taken by a vehicle-mounted camera; a tire recognition section recognizing the tires of the nearby vehicle; a three-dimensional object recognition section recognizing three-dimensional objects including the nearby vehicle; an area-under-vehicle recognition section calculating the ground contact position of the tire and the above-ground height from the ground contact position to the vehicle body and recognizing an area under the vehicle body on the road surface from the overhead image; and a parkable area recognition section for recognizing the area occupied by the vehicle body and the area under the vehicle body as a non-parking area and recognizing a parkable area on the road surface.

In-vehicle image processing device

Provided is a vehicle surroundings recognition apparatus capable of enhancing a calculation accuracy of a relative position and a relative speed with respect to an object such as a pedestrian even in a case where the object cannot be detected accurately in some of the images obtained by performing image-capturing around a vehicle, for example. In a case where a first state in which a first detection unit and a second detection unit detect first position information and second position information about an object and a second state in which only a second detection unit detects second position information about the object occur in a time sequence, first position information interpolation information for interpolating the first position information about the object in the second state is calculated on the basis of the first position information and the second position information in the first state and the second position information in the second state, and a relative distance and a relative speed to the object are measured on the basis of the first position information and the first position information interpolation information.

Vehicle-surroundings recognition device

A surrounding environment recognition device includes: an image acquisition unit that obtains a photographic image from a camera for capturing, via a camera lens, an image of a surrounding environment around a mobile object; an image recognition unit that recognizes an object image of an object present in the surrounding environment based upon the photographic image obtained by the image acquisition unit; an accumulation detection unit that detects accumulation settled on the camera lens based upon the photographic image obtained by the image acquisition unit; a suspension decision-making unit that makes a decision, based upon detection results provided by the accumulation detection unit, whether or not to suspend operation of the image recognition unit; a tracking unit that detects a characteristic quantity in a tracking target image from a specific area in an image captured by the image acquisition unit for a reference frame, determines through calculation an estimated area where the characteristic quantity should be detected in an image captured by the image acquisition unit for a later frame relative to the reference frame and makes a decision as to whether or not the characteristic quantity for the tracking target image is also present in the estimated area; and a resumption decision-making unit that makes a decision, based upon at least decision-making results provided by the tracking unit and indicating whether or not the characteristic quantity for the tracking target image is present, as to whether or not to resume the operation of the image recognition unit currently in a suspended state.

Surrounding environment recognition device

A packing includes a base part that is attached to a duct, and a seal lip part that extends from the base part toward a battery module to press against the battery module. A first bend portion is provided midway in the seal lip part. A second bend portion is provided in a continuous portion between the base part and the seal lip part. The first bend portion and the second bend portion are bent in a direction opposite to each other.

Packing and seal structure of battery module

An image detection unit extracts image feature values from images of each camera. An image conversion unit computes a blend rate according to the image feature values and composites an image of a superposition area wherein a plurality of camera images overlap. An assessment is made of a correspondence of the image feature values of each image in the superposition area, and a determination is made that a solid object is present if the correlation is weak. Furthermore, a determination is made that the solid object is present in the superposition area if the image feature values in each image have locationally overlapping portions. In such a circumstance, the image is composited with the blend rate of the image with a greater image feature value set large.

Image processing system with image conversion unit that composites overhead view images and image processing method

With a simple configuration, a vehicle periphery monitoring system that easily detects pedestrian that has a possibility to collide with a vehicle to which the monitoring system is installed. Based on a change rate in the size of the image of the observation object captured at a preset time interval by an onboard cameraand the presence or absence of the deformation of the observation object image between the captured images, it is determined whether the observation object is a pedestrian relatively approaching the vehicle to which the monitoring system is installed.

Vehicle periphery monitoring system

An approaching object detection system, approaching object can be accurately detected while reducing the load on a calculation processing. A first moving region detection unit () detects (#) only an optical flow substantially in horizontal direction in an image (P) captured by a camera () (#) and sets (#) a rectangular image portion (Q) containing a region moving in a substantially horizontal direction according to the detected optical flow. A second moving region detection unit () obtains a distribution (profile) of signal values of the set rectangular image portion (Q), (#) in a vertical direction (longitudinal direction). Furthermore, the second moving region detection unit () correlates distributions of signal values of image portions (Q, Q) of two continuous images (P, P) in time series (#) based on dynamic programming based processing to obtain an enlargement rate (#). An approaching object determining unit () determines according to the enlargement rate whether the object is actually approaching.

Approaching object detection system

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Saitama, Japan

Yoshitaka Uchida