Abstract: Disclosed are a calibration device, a calibration system and a calibration method. The calibration device includes a camera configured to capture image information, a laser sensor configured to capture image information, a laser sensor configured to detect distance information, and a calibration module configured to perform a calibration of the camera and the laser sensor by obtaining a relation between the image information and the distance information, wherein the calibration module includes a plane member disposed to intersect a scanning surface of the laser sensor such that an intersection line is generated, and disposed within a capturing range by the camera so as to be captured by the camera, and a controller configured to perform coordinate conversions with respect to the image information and the distance information based on a ratio between one side of the plane member and the intersection line, and based on a plane member image included in the image information.

Abstract: An apparatus for providing obstacle information in an autonomous mobile vehicle and a method thereof, in which a target object is determined to be what obstacle by combining pieces of information received from a laser distance sensor and radars, thereby enabling the autonomous driving of a vehicle. The apparatus and method for providing obstacle information in an autonomous mobile vehicle, which is capable of providing robust obstacle information not only in environments normal times, but also dust environments by combining a laser distance sensor and radars. A problem that an obstacle through which a mobile unit can pass, such as dust, is mistaken for an obstacle through which the mobile unit cannot pass can be solved.

Abstract: Disclosed are a steering control device of an autonomous vehicle, an autonomous vehicle having the same, and a steering control method of an autonomous vehicle. The steering control method comprises receiving a position of an autonomous vehicle, and a first heading angle of the autonomous vehicle with respect to the north; calculating a second heading angle of the autonomous vehicle toward a tracking waypoint based on the position of the autonomous vehicle, and computing a rotation radius of the autonomous vehicle with respect to the tracking waypoint; calculating a yaw rate based on a speed of the autonomous vehicle and the computed rotation radius, and generating a steering command corresponding to the calculated yaw rate; and compensating for the steering command based on the first and second heading angles.

Abstract: Disclosed is apparatus for distinguishing between ground and an obstacle for autonomous mobile vehicle, comprising an upper 2D laser radar 1, a lower 2D laser radar 2, and a processing unit 10, the processing unit 10 comprising a distance data receiving part 11, an inclination calculating part 12, a ground and obstacle determining part 13, and a transmitting part. Also disclosed is a method for distinguishing between ground and an obstacle for autonomous mobile vehicle by using the apparatus for distinguishing between ground and an obstacle for autonomous mobile vehicle of claim 1, in which the detected object is determined as an obstacle when the actual inclination (g) of the detected object is larger than the reference inclination, and as ground when the actual inclination (g) of the detected object is smaller than the reference inclination.

Abstract: Disclosed are a calibration device, a calibration system and a calibration method. The calibration device includes a camera configured to capture image information, a laser sensor configured to capture image information, a laser sensor configured to detect distance information, and a calibration module configured to perform a calibration of the camera and the laser sensor by obtaining a relation between the image information and the distance information, wherein the calibration module includes a plane member disposed to intersect a scanning surface of the laser sensor such that an intersection line is generated, and disposed within a capturing range by the camera so as to be captured by the camera, and a controller configured to perform coordinate conversions with respect to the image information and the distance information based on a ratio between one side of the plane member and the intersection line, and based on a plane member image included in the image information.

Abstract: An apparatus for providing obstacle information in an autonomous mobile vehicle and a method thereof, in which a target object is determined to be what obstacle by combining pieces of information received from a laser distance sensor and radars, thereby enabling the autonomous driving of a vehicle. The apparatus and method for providing obstacle information in an autonomous mobile vehicle, which is capable of providing robust obstacle information not only in environments normal times, but also dust environments by combining a laser distance sensor and radar data radars. A problem that an obstacle through which a mobile unit can pass, such as dust, is mistaken for an obstacle through which the mobile unit cannot pass can be solved.

Abstract: Disclosed are a steering control device of an autonomous vehicle, an autonomous vehicle having the same, and a steering control method of an autonomous vehicle. The steering control method comprises receiving a position of an autonomous vehicle, and a first heading angle of the autonomous vehicle with respect to the north; calculating a second heading angle of the autonomous vehicle toward a tracking waypoint based on the position of the autonomous vehicle, and computing a rotation radius of the autonomous vehicle with respect to the tracking waypoint; calculating a yaw rate based on a speed of the autonomous vehicle and the computed rotation radius, and generating a steering command corresponding to the calculated yaw rate; and compensating for the steering command based on the first and second heading angles.

Abstract: Disclosed is apparatus for distinguishing between ground and an obstacle for autonomous mobile vehicle, comprising an upper 2D laser radar 1, a lower 2D laser radar 2, and a processing unit 10, the processing unit 10 comprising a distance data receiving part 11, an inclination calculating part 12, a ground and obstacle determining part 13, and a transmitting part. Also disclosed is a method for distinguishing between ground and an obstacle for autonomous mobile vehicle by using the apparatus for distinguishing between ground and an obstacle for autonomous mobile vehicle of claim 1, in which the detected object is determined as an obstacle when the actual inclination (g) of the detected object is larger than the reference inclination, and as ground when the actual inclination (g) of the detected object is smaller than the reference inclination.

Abstract: An apparatus and method for high-resolution reflectometry that operates simultaneously in both the time and frequency domains, utilizing time-frequency signal analysis and a chirp signal multiplied by a Gaussian time envelope. The Gaussian envelope provides time localization, while the chirp allows one to excite the system under test with a swept sinewave covering a frequency band of interest. High resolution in detection of the reflected signal is provided by a time-frequency cross correlation function. The high-accuracy localization of faults in a wire/cable can be achieved by measurement of time delay offset obtained from the frequency offset of the reflected signal. The apparatus enables one to execute an automated diagnostic procedure of a wire/cable under test by control of peripheral devices.

Abstract: An apparatus and method for high-resolution reflectometry that operates simultaneously in both the time and frequency domains, utilizing time-frequency signal analysis and a chirp signal multiplied by a Gaussian time envelope. The Gaussian envelope provides time localization, while the chirp allows one to excite the system under test with a swept sinewave covering a frequency band of interest. High resolution in detection of the reflected signal is provided by a time-frequency cross correlation function. The high-accuracy localization of faults in a wire/cable can be achieved by measurement of time delay offset obtained from the frequency offset of the reflected signal. The apparatus enables one to execute an automated diagnostic procedure of a wire/cable under test by control of peripheral devices.