Denso Corporation

Hitachi, Ltd.

Chubu University Educational Foundation

Hironobu Fujiyoshi

Masaya Itoh

Masanori Miyoshi

Hiroshi Mieda

Ryo Yumiba

Naoki Fukaya

Masanari Takaki

Yuan Li

Junji Kato

Shunichi Kaneko

Yuusuke Sakashita

Hisanori Takamaru

Each of tanks of a heat exchanger includes a tube joint portion and a tank body portion which define an internal space of the tank. The tube joint portions of the tanks constitute a single core plate. The tank body portions each have a claw protruding toward a core portion. The core plate is provided with a hole that fits with the claw. In a state in which the claw is fitted into the hole, the tank body portions are fixed to the core plate.

Heat exchanger

An object detecting device includes an image acquiring unit which acquires an image from a camera, a scanning interval calculating unit which calculates a scanning interval when a scanning window is scanned on the image based on a size on the image of a detection object that is detected by the detecting window, a scanning unit which scans on the image using the scanning interval that is calculated by the scanning interval calculating unit, and a detecting unit which determines whether the detection object is present within the scanned detecting window.

Object detecting device and object detecting method

A depth histogram is created for each of a plurality of local regions of the depth image by grouping, according to specified depths, the depth information for the individual pixels that are contained in the local regions. A degree of similarity between two of the depth histograms for two of the local regions at different positions in the depth image is calculated as a feature. A depth image for training that has a high degree of certainty is defined as a positive example, a depth image for training that has a low degree of certainty is defined as a negative example, a classifier that is suitable for classifying the positive example and the negative example is constructed, and an object that is a target of detection is detected in the depth image, using the classifier and based on the feature.

Object detection device

An object recognition apparatus sets each of keypoints extracted from a typical image and one of keypoints extracted from an input image, having scale invariant features similar to each other, as a typical corresponding point and an object corresponding point matching with each other, and produces a position vector directed from a typical reference point of the typical image to each typical keypoint. The apparatus determines a position of an object reference point in the input image from a position of each object corresponding point and the vector of the typical corresponding point matching with the object corresponding point. When the positions of the object reference point are concentrated, the apparatus judges that an object picture having the object corresponding points in the input image matches with the typical image, and the apparatus recognizes the picture as an object indicated by the typical image.

Apparatus for recognizing object in image

A method for detecting an ellipsoid includes: extracting an ellipsoid candidate; extracting an ellipsoid contour; calculating an ellipsoid parameter; calculating an adaptability ratio; and eliminating the ellipsoid candidate. Extracting the ellipsoid candidate includes: inputting an image with figures; selecting the ellipsoid candidate from the figures; and extracting a contour candidate point and a center point. Extracting the ellipsoid contour includes: drawing straight lines; determining contour candidate points; calculating first and second distances; and defining ellipsoid contour points. Calculating the ellipsoid parameter is based on the ellipsoid contour points and the center point. Calculating the adaptability ratio includes: drawing a complete ellipsoid; and calculating the adaptability ratio between the complete ellipsoid and the ellipsoid candidate. Eliminating the ellipsoid candidate is performed when the adaptability ratio is equal to or smaller than a threshold.

Ellipsoid detecting method, figure center detecting method, image recognizing device, and controller based on image

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Kasugai, Japan

Hironobu Fujiyoshi