Abstract: 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.

Abstract: 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

Abstract: 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.

Abstract: An object detection apparatus receives an input of a compressed image stream, extracts, from a block included in the input compressed image stream, predetermined compression encoded information representing a feature of a compressed image, and determines, based on the extracted predetermined compression encoded information, whether or not the block is a candidate block including at least a part of the specific object. The object detection apparatus identifies, in a decoded image decoded from the compressed image stream, a candidate region of a predetermined size including the candidate block, calculates a predetermined feature amount from image data of the candidate region, and determines, based on the calculated predetermined feature amount, whether or not the candidate region includes at least a part of the specific object.

Abstract: 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.

Abstract: The present invention addresses the problem of providing a surrounding environment recognition device that presents to a user a sensing-enabled range that varies depending on a contamination state of a lens. The present invention is characterized by comprising: an image-capturing unit that acquires an image; an application execution unit that executes an application for recognizing an object to be recognized from the image; a lens state diagnosis unit that diagnoses the lens state of a camera on the basis of the image; a sensing range determination unit that determines a sensing-enabled range allowing the sensing of the object to be recognized with the lens state diagnosed by the lens state diagnosis unit when the application is executed, and a sensing-disabled range not enabling the sensing of the object to be recognized; and a notification control unit that notifies the sensing-enabled range of the sensing range determination unit.

Abstract: 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.

Abstract: 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.

Abstract: An image display device includes: a feature quantity detection condition specifying unit configured to specify a condition for detecting a predetermined feature quantity for an overhead view image of each image obtained by photographing a region in common from at least two different viewpoints; a feature quantity detecting unit configured to detect, by using the specified feature quantity detection condition, the feature quantity for each overhead view image; a blending ratio specifying unit configured to specify, based on the feature quantity, a blending ratio to be used when blending pixels of the overhead view images; and an overhead view image combining unit configured to produce and output a combined overhead view image by blending the pixels of the overhead view images based on the blending ratio.

Abstract: 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.

Abstract: 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.

Abstract: 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

Abstract: 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 camera 111 and 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.

Abstract: 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.

Abstract: 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.

Abstract: 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 (30) detects (#3) only an optical flow substantially in horizontal direction in an image (P) captured by a camera (10) (#1) and sets (#4) 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 (40) obtains a distribution (profile) of signal values of the set rectangular image portion (Q), (#5) in a vertical direction (longitudinal direction). Furthermore, the second moving region detection unit (40) correlates distributions of signal values of image portions (Q, Q) of two continuous images (P, P) in time series (#6) based on dynamic programming based processing to obtain an enlargement rate (#7).

Abstract: To provide a vehicle peripheral area observation system that can, with a simple configuration, detect a pedestrian who has a possibility of hitting against the vehicle by removing an appearance motion due to water vapor or a light source fluctuation. A water vapor region is detected from motion information and luminance information from videos captured with an on-vehicle camera, and recognition of a moving object in the water vapor region is invalidated for a given period of time.

Abstract: 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 camera 111 and 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.

Abstract: 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 (30) detects (#3) only an optical flow substantially in horizontal direction in an image (P) captured by a camera (10) (#1) and sets (#4) 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 (40) obtains a distribution (profile) of signal values of the set rectangular image portion (Q), (#5) in a vertical direction (longitudinal direction). Furthermore, the second moving region detection unit (40) correlates distributions of signal values of image portions (Q, Q) of two continuous images (P, P) in time series (#6) based on dynamic programming based processing to obtain an enlargement rate (#7).

Abstract: An ad hoc network is configured of a plurality of nodes. The node includes: a link setting unit configured to set a plurality of links to a plurality of adjacent nodes on a one-to-one basis; a Bloom filter storage unit configured to store a Bloom filter in association with each of the links existing in linked destinations, the Bloom filter generated by using, as a key, a node identification uniquely identifying each of the nodes exiting in linked destination; and a data transmitter configured to use the stored Bloom filters as routing information at a time of data transmission.