Abstract:
When excavation is performed using an excavation device, a position of a bucket and a position of an excavated material are measured with high accuracy, and further, a safe excavation work is realized in the present invention. The excavation device of the present invention is characterized by including: a stereo camera; a means for recognizing a bucket from an image photographed by the camera and measuring a position of the bucket; a means for recognizing an excavated material to be separated from a ground from the image photographed by the camera and measuring a position of the excavated material; and a means for measuring a positional relationship between the bucket and the excavated material in a same screen.
Abstract:
The present invention addresses the problem of efficiently moving a plurality of moving objects under different rule-based control systems without impairing safety. In order to solve this problem, a moving body task estimation unit 501 estimates moving body tasks 541 of a plurality of moving bodies 1 under different rule-based control systems, an optimum route generation unit 503 searches for optimum routes 542 using various combinations of a plurality of pieces of task information, and a common movement route creation unit 504 creates a common movement route 543 for the plurality of moving bodies by overlapping the obtained optimum routes 542.
Abstract:
A self-propelled inspection robot according to the invention includes a self-position estimation unit that performs inspection of an equipment by traveling on a travel route and obtains the position of the self-propelled inspection robot, an obstacle detection unit that detects an obstacle, an inspection continuity determination unit that determines whether the self-propelled inspection robot can continue the inspection, a mode selection unit that selects an automatic mode and a manual mode as a travel mode of the self-propelled inspection robot when the inspection continuity determination unit determines that the inspection cannot be continued, and a control unit that makes the self-propelled inspection robot automatically travel when the inspection continuity determination unit and when the mode selection unit selects the automatic mode, and makes the self-propelled inspection robot travel by a user's operation when the mode selection unit selects the manual mode.
Abstract:
A worker constructs a map necessary for inspection of infrastructure equipment using data acquired using a target imaging device as data necessary for map generation, thereby reducing the cost necessary for transportation and the like of an autonomous inspection apparatus, and moreover, travel evaluation and inspection evaluation are performed using an evaluation function, and a map necessary for the inspection can be corrected based on a travel route of an autonomous travel route and an inspection result based on an evaluation result, whereby the introduction cost can be reduced.
Abstract:
Provided is a self-propelled inspection device capable of improving efficiency of system introduction cost, setting, and update work necessary for self-propelling in a self-propelled inspection device expected to be operated outdoors for a long period of time. Therefore, there is provided the self-propelled inspection device that autonomously inspects an inspection object while autonomously traveling an inspection route, the self-propelled inspection device including: a self-position estimation unit that estimates a self-position; a map information database that manages map information for autonomous traveling; a traveling unit including a drive mechanism and a steering mechanism; a sensor that senses the inspection object; a map information update unit that updates the map information based on information sensed by the sensor; and a traveling unit control unit that controls the traveling unit based on the updated map information.
Abstract:
The invention improves volume estimation accuracy of an object in a container using a captured image in a case where a blind spot region exists in a captured image of the object in the container. A blind spot estimation portion for estimating the blind spot region of the object in the bucket; a blind spot region shape estimation portion for estimating a shape of the object in the blind spot region; and a volume estimation portion for estimating a volume of the object in the blind spot region are included, the blind spot estimation portion estimates the blind spot region by mesh disparity data obtained from a captured image of the object in the bucket imaged by a plurality of cameras, the blind spot region shape estimation portion estimates the shape of the object in the blind spot region by the mesh disparity data, and the volume estimation portion estimates the volume of the object in the blind spot region based on the shape of the object in the blind spot region estimated by the blind spot region shape estimation portion and a shape of a bottom of the bucket.
Abstract:
An outside recognition device according to the present invention has an object to perform distance measurement of an obstacle detected with a surrounding monitoring camera at a low cost. The outside recognition device according to the present invention has a stereo camera that measures a distance in front of the vehicle, a surrounding monitoring camera that photographs a surrounding area of the vehicle, a three-dimensional measuring unit that measures a photographing range of the surrounding monitoring camera with the stereo camera by means for rotating the stereo camera, and generates three-dimensional information from the measurement result, a distance correction information generating unit that generates distance correction information corresponding to a photographing direction of surrounding monitoring camera from the three-dimensional information, and a distance measuring unit that measures a position of the obstacle detected with a surrounding monitoring camera.
Abstract:
An object recognition device includes a camera (113) and a radar (114), detects an estimated plane region estimated to be a plane from an image from the camera (113) (S202), and calculates a plane equation for the estimated plane region (S207). The object recognition device interpolates and estimates distance data within the estimated plane region based on the plane equation and the measured distance data from the radar (S210) and obtains the distance to an object by using the distance data. Accordingly, it is possible to obtain dense distance data throughout the estimated plane region and to detect the distance to small objects and distant objects.
Abstract:
An external recognition apparatus and an excavation machine using the external recognition apparatus, the external recognition apparatus including: a three-dimensional distance measurement device configured to acquire distance information in a three-dimensional space in a predetermined, region which is under a hydraulic shovel and which includes a region to be excavated by the hydraulic shovel; a plane surface estimation unit configured to estimate a plane surface in the predetermined region based on the distance information; and an excavation object region recognition unit configured to recognize the region to be excavated in the predetermined region based on the plane surface and the distance information.