Fujitsu Ten Limited

Denso Ten Limited

Naoshi Kakita

Atsushi Mino

Takayuki Ozasa

Yuuki Matsumoto

Takashi Kono

Shota Kinoshita

Yuki Matsumoto

Yasutaka Nishijima

Teruhiko Kamibayashi

Kohji Ohnishi

Yasushi Tani

Tomohide Kasame

Tomoyuki Fujimoto

Takeo Matsumoto

Jyunji Hashimoto

Koji Ohnishi

An information processing device includes: a controller configured to execute a posture estimation processing by estimating a posture of an in-vehicle camera based on an optical flow of a feature point in a processing target region set in a camera image captured by the in-vehicle camera. The controller is configured to set a position of the processing target region in a vertical direction based on a horizontal line position which is a position of a horizontal line derived from a point where two parallel lines intersect with each other in a real space observed in the camera image, an attachment height of the in-vehicle camera, and a horizontal line deviation amount which is a deviation amount between the horizontal line position and an optical axis center of the in-vehicle camera.

Information processing device, information processing method, and computer readable medium

An image processing apparatus includes a controller configured to: (i) perform image recognition of the camera image to identify a signal region in which a traffic light exists in the camera image; (ii) divide the signal region into a plurality of sub-regions; (iii) calculate a first representative pixel value related to a color component for each of a predetermined number of the sub-regions; (iv) identify as same color regions each of the predetermined number of the sub-regions that have more than a predetermined number of pixels with pixel values within a predetermined range of the first representative pixel value; (v) calculate a second representative pixel value related to a color component in the same color regions; and (vi) exclude the pixels having the pixel values within a predetermined range of the second representative pixel value from the signal region for subsequent determination of the light color of the traffic light.

Image processing apparatus

An image processing apparatus that identifies a lighting state of a traffic light having a green light, a yellow light, and a red light. The image processing apparatus includes a controller configured to: (i) specify a traffic light region in an image acquired from an in-vehicle camera; (ii) detect green pixels, yellow pixels, and red pixels in the traffic light region; (iii) perform weighting by assigning a higher weighting value to the green pixels, the yellow pixels and the red pixels in positions respectively corresponding to locations of the green light, the yellow light, and the red light in the traffic light region; and (iv) determine the lighting state of the traffic light as either green, yellow or red based on a comparison of a total number of pixels for each of the green, yellow and red pixels after performing the weighting.

An image processing apparatus includes a controller configured to: (i) perform image recognition of a camera image to identify a signal region in which a traffic light exists in the camera image, the traffic light including an arrow light; (ii) identify a candidate region of the signal region, the candidate region satisfying (a) a first condition related to a color component of the arrow light and (b) a second condition related to a luminance component of the arrow light; and (iii) determine that the arrow light of the traffic light is turned on when a size of the candidate region that has been identified is smaller than a predetermined size.

An abnormality detection apparatus for detecting an abnormality of a camera to be mounted on a mobile body includes a processor and associated memory configured to perform a determination process of determining a presence or absence of the abnormality of the camera based on a temporal change of a position of a feature point that is extracted from a frame image photographed by the camera and suppress a gain change in an Automatic Gain Control ('AGC') circuit of the camera when the determination process is performed.

Abnormality detection apparatus

An abnormality detection device includes: an estimator which estimates the amount of movement of a mobile body based on an image taken by a camera mounted on the mobile body; and a determiner which determines an abnormality in the camera by obtaining estimated information on the amount of movement of the mobile body as obtained in the estimator and actually observed information on the movement of the mobile body as detected by an external sensor, other than the camera, mounted on the mobile body.

Abnormality detection device and abnormality detection method

There is provided a vehicle state determining device. An extracting unit is configured to extract feature points from images acquired by an imaging device mounted on a vehicle. An estimating unit is configured to estimate the movement amount of the vehicle at each time set at intervals of a predetermined time, on the basis of the feature points extracted by the extracting unit. A determining unit is configured to perform determination on movement of the vehicle on the basis of the movement amount estimated by the estimating unit, and the change amount of the movement amount.

Vehicle state determining device, display processing device, and vehicle state determining method

There is provided an image processing device. An object detecting unit is configured to detect objects from each frame image sequentially input from an imaging device. A selecting unit is configured to select objects positioned at the lowest portions, from the objects included in a plurality of individual segment areas constituting the frame image and existing side by side in a left-right direction. A highlighting-image generating unit is configured to generate highlighting images for highlighting the objects selected by the selecting unit.

Image processing device and image processing method

An obstacle detection apparatus according to an embodiment includes an on-vehicle camera (image capturing unit), an estimation unit, and a determination unit. The on-vehicle camera is provided on a vehicle and captures an image of surroundings of the vehicle. The estimation unit estimates an existence region with an obstacle existing therein in an image captured by the image capturing unit. The determination unit determines presence or absence of the obstacle based on brightness of the existence region.

Brightness range based obstacle detection apparatus and method

There is provided an image processing device. A feature point acquiring unit acquires a plurality of feature points of objects of each frame image. A grouping unit performs a grouping process of dividing the feature points into groups corresponding to the individual objects. A masking unit performs a masking process of excluding feature points included in some areas of the frame image. A highlighting-image generating unit generates highlighting images for highlighting objects of the frame image corresponding to the feature point groups. A superimposed-image generating unit superimposes the highlighting images on the frame image, thereby generating a superimposed image.

An image processing apparatus that processes an image includes: an image acquisition portion that acquires a captured image from an imaging apparatus which captures an image of a vicinity of a vehicle; and an image generator that generates a display image in which a support image for supporting driving is superimposed on the acquired captured image captured by the imaging apparatus, the image generator being configured to (i) make a determination as to whether the vehicle is in a stopped state or a moving state, and (ii) select a type of the support image to be superimposed on the acquired captured image in the display image based on the determination as to whether the vehicle is in the stopped state or the moving state.

An image processing apparatus includes: an image processor which: receives a captured-image from an image acquisition part acquiring the captured-image from a camera that captures an image of a vicinity of a vehicle; project data of the captured-image onto a virtual projection plane provided in the vicinity of the vehicle; and correct deformation of the captured-image caused by projection of the captured-image onto the virtual projection plane. In a case of presence of a command indicative of enlarging a portion of the captured-image, the image processor corrects the deformation of the captured-image by using a greater correction amount than that used in a case of absence of the input of the command indicative of enlarging the portion of the captured-image. Accordingly, in a case where a portion of an image of a vicinity of a vehicle is enlarged, deterioration of image quality can be suppressed as much as possible.

Growing community of inventors

Kobe, Japan

Naoshi Kakita