The present disclosure provides an external parameter calibration method for robot sensors as well as an apparatus, robot and storage medium with the same. The method includes: obtaining first sensor data and second sensor data obtained through a first sensor and a second sensor of the robot by collecting position information of a calibration reference object and converting to a same coordinate system to obtain corresponding first converted sensor data and second converted sensor data, thereby determining a first coordinate and a second coordinate of a reference point of the calibration reference object; using the first coordinate and the second coordinate are as a set of coordinate data; repeating the above-mentioned steps to obtain N sets of the coordinate data to calculate the external parameter between the first sensor and the second sensor in response to a relative positional relationship between the robot and the calibration reference object being changed.

The present disclosure provides an external parameter calibration method for robot sensors as well as an apparatus, robot and storage medium with the same. The method includes: obtaining first sensor data and second sensor data obtained through a first sensor and a second sensor of the robot by collecting position information of a calibration reference object and converting to a same coordinate system to obtain corresponding first converted sensor data and second converted sensor data, thereby determining a first coordinate and a second coordinate of a reference point of the calibration reference object; using the first coordinate and the second coordinate are as a set of coordinate data; repeating the above-mentioned steps to obtain N sets of the coordinate data to calculate the external parameter between the first sensor and the second sensor in response to a relative positional relationship between the robot and the calibration reference object being changed.

The invention relates to a measuring system for a construction machine having a carrier including several portions, a measuring system for a construction machine including a calculation unit determining a regression line as well as a controller having two control loops.

There is provided an operating method of an optical positioning system including: capturing an image frame of a detected surface, which has interleaved bright regions and dark regions, using a field of view and a shutter time of an optical sensor; counting a number of edge pairs between the bright regions and the dark regions that the field of view passes; calculating an average value of the image frame; calculating a ratio between the calculated average value and the shutter time; determining that the field of view is aligned with one of the dark regions when the ratio is smaller than a ratio threshold; and determining that the field of view is aligned with one of the bright regions when the ratio is larger than the ratio threshold.

A gauge inspection jig for performing an inspection easily and accurately in a reverse posture with a contact point facing upward when a gauge is inspected. The gauge inspection jig includes a body portion and a coupling portion. The body portion holds a member mounted to a body portion of the gauge. This holds the gauge in the reverse posture. The coupling portion is coupled to the body portion. The coupling portion is couplable to a distal end of a measurement spindle disposed on a gauge inspector to be movable in a measurement axis direction.

A calibration standard for geometry measurement calibration of a measurement system operating by tactile and/or optical means is provided which includes a flat surface having a structure that is capturable by a measurement system operating by optical and/or tactile means. The structure has a changeable periodicity that is capturable by a sensor in a first direction and/or in a second direction and for a change in the periodicity to code position information and/or direction information. In addition, a method for calibrating a coordinate measuring machine operating by tactile and/or optical means and to a coordinate measuring machine for such a method or having such a calibration standard is provided.

A calibration method for performing calibration in a computer vision system using a three-dimensional reference object asymmetric as viewed in any direction and having predetermined dimensions includes calculating, based on three-dimensional shape data about the three-dimensional reference object and three-dimensional measurement data obtained through three-dimensional measurement of the three-dimensional reference object, a position and an orientation of the three-dimensional reference object relative to a measurement unit coordinate system defined for the three-dimensional measurement unit, and calculating a reference-measurement unit transformation matrix representing a coordinate transformation between the measurement unit coordinate system and a reference coordinate system defined for the three-dimensional reference object.

A method for measuring a workpiece by a measurement device includes capturing an identification feature of a workpiece by a capture device, determining an item of identity information relating to the workpiece, comparing the identity information with identity information relating to a plurality of workpieces from a database which stores the identity information relating to the plurality of workpieces, identifying the workpiece in the database, and/or characterizing the workpiece from the comparison with the database, determining a measurement sequence stored in the database for the identified workpiece, or suggesting features or steps of a measurement sequence for the identified workpiece, and measuring the workpiece in accordance with the measurement sequence in the measurement device.

To simplify a configuration for increasing an amount of information on an observation space, taken image acquisition means of an image processing system acquires taken images that have been taken by image taking means, which is movable in a real space. Observation space information acquisition means acquires, based on changes in position of a feature point cloud in the taken images, observation space information including three-dimensional coordinates of the feature point cloud in an observation space. Machine learning means acquires, based on machine learning data on a feature of an object, additional information on a feature of a photographed object shown in the taken images. Integration means integrates the observation space information and the additional information.

To simplify a configuration for increasing an amount of information on an observation space, taken image acquisition means of an image processing system acquires taken images that have been taken by image taking means, which is movable in a real space. Observation space information acquisition means acquires, based on changes in position of a feature point cloud in the taken images, observation space information including three-dimensional coordinates of the feature point cloud in an observation space. Machine learning means acquires, based on machine learning data on a feature of an object, additional information on a feature of a photographed object shown in the taken images. Integration means integrates the observation space information and the additional information.