Toyota Jidosha Kabushiki Kaisha

Denso Corporation

Takuya Miwa

Akihiro Kida

Masumi Fukuman

Takayuki Hiromitsu

Kunihiro Sugihara

Yutaka Hamamoto

Koki Osada

Tomoyuki Fujimoto

In an apparatus for identifying an obstacle around a vehicle, an acquirer is configured to acquire an image captured by a camera mounted to the vehicle. An extractor is configured to extract feature points of the image. A generator is configured to generate an optical flow that is a movement vector from each of the feature points of the image acquired before the current time to a corresponding feature point of the image acquired at the current time. A classifier configured to classify the optical flows into groups each corresponding to an object in the image based on pixel positions of the feature points. An identifier is configured to, for each of the groups that the optical flows are classified by the classifier into, identify whether an object corresponding to the group in the image is a stationary object or a moving object based on a degree of variability in lengths of the optical flows of the group.

Apparatus and method for identifying obstacle around vehicle

An obstacle recognition device of a vehicle provided with a camera capturing an image around the vehicle, includes an acquiring unit sequentially acquiring the image captured by the camera; a feature point extracting unit extracting a plurality of feature points of an object included in the image; a calculation unit calculating each motion distance of the plurality of feature points between the image previously acquired and the image currently acquired by the acquiring unit; a first determination unit determining whether each motion distance of the feature points is larger than or equal to a first threshold; a second determination unit determining whether each motion distance of the feature points is larger than or equal to a second threshold; and an obstacle recognition unit recognizing an obstacle.

Obstacle recognition device

An obstacle identification apparatus acquires an image that is captured by a camera that is mounted to a vehicle. The obstacle identification apparatus calculates a first gradient that is a gradient in a first direction of a luminance value of pixels in the image and a second gradient that is a gradient of the luminance value in a second direction orthogonal to the first direction of the first gradient. Based on the first gradient and the second gradient, the obstacle identification apparatus estimates a shadow boundary that is a boundary between an own-vehicle shadow that is a shadow of the own vehicle and an object outside the vehicle. Based on the estimated shadow boundary, the obstacle identification apparatus estimates the own-vehicle shadow.

Obstacle identification apparatus and obstacle identification program

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Kariya, Japan

Takuya Miwa