Hitachi Construction Machinery Co., Ltd.

Chieko Onuma

Yukihiro Kawamata

Yoshibumi Fukuda

Moritaka Oota

Hidefumi Ishimoto

Yoichi Kowatari

Ryo Yumiba

A surroundings monitoring system for a working machine prevents its own vehicle shadow from having an influence on the detection of an object existing around the working machine. The surroundings monitoring system for a working machine includes: a monocular camera picks up an image of the surroundings of the working machine. A characteristic pattern extraction unit extracts characteristic patterns in the picked-up image based on a characteristic amount of the image. A shadow profile extraction unit extracts a profile of a region, which can be regarded as a shadow of the working machine in the image, based on the characteristic amount of the image; and an object detection unit detects an obstacle existing around the working machine based on the remaining characteristic patterns obtained by excluding a shadow profile characteristic patterns positioned on the profile extracted by the shadow profile extraction unit from the characteristic patterns.

Surroundings monitoring system for working machine

The vehicle exterior moving object detection system includes a surrounding-area image input section for capturing images in areas surrounding its own vehicle and delivering the captured images as surrounding-area images, a combined image constructing section for constructing a combined image including a result output from the detection of a moving object by combining the surrounding-area images, and an output section for presenting the combined image to the user. The vehicle exterior moving object detection system includes a movable-component region setting section for setting shapes and layout of movable components of the own vehicle in the surrounding-area images and calculating regions for the movable components of the vehicle, and a moving object detecting section for being supplied with the movable-component regions calculated by the movable-component region setting section and the surrounding-area images from the surrounding-area image input section, performing a process of detecting a moving object, and outputting a detection result.

Vehicle exterior moving object detection system

A vehicle peripheral obstacle notification system, used on a construction machine, detects a moving obstacle, gives composite display of the detected moving obstacle, and notifies a user thereof, the moving obstacle being at a location not appearing in a composite bird's-eye view obtained by onboard cameras acquiring images of the surroundings of the vehicle including an image immediately under the vehicle body. The system has a composite image formation part that extracts composite image formation areas from the surrounding images to compose a composite bird's-eye image. A moving obstacle is detected using the surrounding images and it is decided whether the detected position of the moving obstacle is inside or outside the composite image formation areas. If the detected position is determined to be outside the composite image formation areas, information about the detected position is extracted and an image thereof is output for superimposition onto the composite bird's-eye image.

Vehicle peripheral obstacle notification system

This invention includes: an obstacle detection unitthat detects obstacles present around the working machine, by use of an image acquired by a camera; a position calculating unitthat calculates positions of each of the detected obstacles; a hazard zone calculating unitthat calculates a hazard zone based upon an attitude and motion of the working machine; a determining unitthat determines whether further obstacles are present in the calculated hazard zone; a risk level setting unitthat sets a contact risk level for each of any obstacles present in the hazard zone; an image generating unitthat converts the camera image into a bird's-eye image centering upon the working machine, and then generates an image inclusive of all elements of the working machine and hazard zone on the bird's-eye image by further imaging the bird's-eye image diagonally from above an obstacle for which the highest contact risk level has been set by the risk level setting unit; and a display devicethat displays the generated image. This configuration makes an operator instantly recognize a position of the most potentially hazardous obstacle relative to the working machine, and thus improves working efficiency of the machine.

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Tokyo, Japan

Chieko Onuma