Abstract: The present invention relates to a system for extracting position information of object in point cloud data by using component comprising a component file creating unit making the component file of prior standardized object; an object position information extraction unit extracting position information of object by using point cloud data collected by LiDAR; and an object outline extraction and position determination unit optimizing object outline of point cloud data by using the component file, and extracting accurate information of standard position from the optimized outline.

Abstract: Provided is a bridge inspection robot that avoids obstacles is provided. An ascending/descending portion corresponds to a gap distance between a first and second girder flange provided at the upper side of a bridge pier. An obstacle detection portion detects the obstacle and a photographing altitude control portion detects an altitude change of an image photographing portion according to obstacle height when the robot main body climbs up/down or avoids the obstacle, and adjusts a photographing height to correspond to the altitude change. A position calculation portion measures a mobile position of the robot main body corresponding to a consecutively photographed image, to calculate axis coordinates. An image processing portion receives the consecutively photographed images and coordinates, to confirm the crack elements corresponding to images and produce an image of an actual position coordinate of the corresponding image.

Abstract: Provided is a method of estimating a load carrying capacity of a bridge. The load carrying capacity estimation method includes the steps of: estimating a mode coefficient of the bridge using an acceleration signal obtained from an accelerometer that is installed in the bridge; updating an analysis model of the bridge using the estimated mode coefficient; and estimating a rating factor of the bridge by applying a dead load and a design live load to the updated analysis model.

Abstract: An inspection system and method for paint coated film of steel bridge using image processing technique including a paint coated film image storing process that stores in a data base (DB) unit a paint coated film image information of a steel bridge photographed by the inspection system; a paint coated film information loading process that loads information stored in the DB unit through calling a file containing the paint coated film image information to be inspected; a scale and rust extracting process that displays a scale part and a rust part on an output unit after detecting the rust part and the scale part by use of the inspection system and storing a calculated percentage of deteriorated are in the DB unit; and a repainting information calculating process that calculates a time for repainting and provide an optimum method for paint coating by deteriorated image information of paint coated film.

Abstract: Provided is a method of estimating a load carrying capacity of a bridge. The load carrying capacity estimation method includes the steps of: estimating a mode coefficient of the bridge using an acceleration signal obtained from an accelerometer that is installed in the bridge; updating an analysis model of the bridge using the estimated mode coefficient; and estimating a rating factor of the bridge by applying a dead load and a design live load to the updated analysis model.

Abstract: There is provided a processing method of an inspection system for paint coated film of steel bridge using image processing technique comprising: a paint coated film image storing process that stores in a data base (DB) unit a paint coated film image information of a steel bridge photographed by the inspection system; a paint coated film information loading process that loads paint coated film image information through calling a file containing the paint coated film image information to be inspected which is stored in the DB unit; a scale and rust extracting process that displays a scale part and a rust part on an output unit after detecting the rust part and the scale part by an image processing process of the inspection system for paint coated film and storing a calculated percentage of deteriorated are in the DB unit; and a repainting information calculating process that calculates a time for repainting and provide an optimum method for paint coating by deteriorated image information of paint coated film.

Abstract: There is provided a camera secondary curved mirror structure which is manufactured by removing a predetermined portion of a circular curved mirror for a camera which is equidistant by a predetermined distance of m/R from each side of a line which passes through the center-point of the circular curved mirror in a vertical direction, to result two curved mirror members; jointing the two curve mirror members together to form a joint line; establishing a cutting line which is perpendicular to the joint line and which is at a predetermined distance n/D from a point where the joint line intersects the circumference of the curved mirror members; and cutting along the cutting line so that a lower portion of the jointed curved mirror members results, to form a curved mirror.