摘要:
The present invention relates to a mobile system and a moving method of the mobile system. According to the present invention, a natural period is measured from a vibration component signal generated by a force due to acceleration/deceleration of wheels, and the mobile system moves by applying an acceleration profile containing an acceleration period or a deceleration period based on the natural period. Therefore, the acceleration profile based on the natural period is applied such that vibration that is visible to a user is not generated during acceleration and deceleration of the mobile system. As a result, quality of the mobile system is improved.
摘要:
Provided is a person detecting apparatus and method in an intelligent mobile robot. The person detecting apparatus includes a camera, an observation system status input unit, an encoding unit, a decoding unit, and a person detection unit. The camera is mounted on a robot to output image information. The observation system status input unit determines whether the robot or the camera is in motion. The encoding unit receives the image information to output a bit stream including mode information. The decoding unit decodes the bit stream, extracts a block mode value of each macro block, and stores the same in a two-dimensional array. The person detection unit outputs detection information about a moving person using the determination information provided from the observation system status input unit and the block-mode two-dimensional array provided from the decoding unit.
摘要:
An apparatus for moving the center of gravity of a robot, and a system and method using the apparatus are provided. The apparatus includes a weight conveyor with a conveyed weight weighing a predetermined amount and disposed within the main body of the robot. The conveyed weight is conveyed in a predetermined direction to move the center of gravity of the robot, thus allowing a non-driven caster of the robot to surmount obstacles in its path and not become stuck while the robot is moving.
摘要:
Provided are a human recognition apparatus and a human recognition method identifying a user based on a walking pattern. The human recognition apparatus includes a detecting unit detecting a vibration according to a user's walking, and outputting an electric signal, a pattern calculating unit acquiring a walker's walking pattern from the electric signal, and a user determining unit comparing the walking pattern with a previously measured reference data by user and identifying the user based on the comparison result. The human recognition apparatus and the human recognition method are robust against peripheral noise and can increase an acceptance rate through a simple structure and procedure by using the waling pattern, which is one-dimensional time information requiring no vast data throughput, as the user identification data.
摘要:
A robot vision system for outputting a disparity map includes a stereo camera for receiving left and right images and outputting a disparity map between the two images; an encoder for encoding either the left image or the right image into a motion compensation-based video bit-stream; and a decoder for extracting an encoding type of an image block, a motion vector, and a DCT coefficient from the video bit-stream. Further, the system includes a person detector for detecting and labeling person blocks in the image using the disparity map between the left image and the right image, the block encoding type, and the motion vector, and detecting a distance from the labeled person to the camera; and an obstacle detector for detecting a closer obstacle than the person using the block encoding type, the motion vector, and the DCT coefficient extracted from the video bit-stream, and the disparity map.
摘要:
A stereo vision system includes an image pre-processing unit for pre-processing the right and left images, and a stereo matching unit for carrying out stereo matching of the right and left images to acquire low-resolution distance information of the right and left images and high-resolution distance information of the right and left images upon detection of an object within a distance range through the low-resolution distance information.
摘要:
A stereo vision system includes an image pre-processing unit for pre-processing the right and left images, and a stereo matching unit for carrying out stereo matching of the right and left images to acquire low-resolution distance information of the right and left images and high-resolution distance information of the right and left images upon detection of an object within a distance range through the low-resolution distance information.
摘要:
Provided is a device for improving stereo matching results. The device for improving stereo matching results includes: a stereo camera unit outputting binocular disparity images by using binocular disparity between two images preprocessed according to a plurality of preprocessing conditions; a discrete cosine transform (DCT) unit generating DCT coefficients by performing DCT on the binocular disparity images; a streak estimation unit receiving the DCT coefficients and estimating amounts of streaks distributed on a screen by using AC coefficients, including streak patterns, of the DCT coefficients; a condition estimation unit estimating a preprocessing condition, corresponding to the smallest amount of streaks of the estimated amounts of streaks, of the plurality of preprocessing conditions, as an optimal condition, and a streak removal unit generating binocular disparity images without the streaks by changing predetermined AC coefficients of the DCT coefficients and performing inverse DCT on the changed DCT coefficients.
摘要:
A robot vision system for outputting a disparity map includes a stereo camera for receiving left and right images and outputting a disparity map between the two images; an encoder for encoding either the left image or the right image into a motion compensation-based video bit-stream; and a decoder for extracting an encoding type of an image block, a motion vector, and a DCT coefficient from the video bit-stream. Further, the system includes a person detector for detecting and labeling person blocks in the image using the disparity map between the left image and the right image, the block encoding type, and the motion vector, and detecting a distance from the labeled person to the camera; and an obstacle detector for detecting a closer obstacle than the person using the block encoding type, the motion vector, and the DCT coefficient extracted from the video bit-stream, and the disparity map.
摘要:
Provided are a human recognition apparatus and a human recognition method identifying a user based on a walking pattern. The human recognition apparatus includes a detecting unit detecting a vibration according to a user's walking, and outputting an electric signal, a pattern calculating unit acquiring a walker's walking pattern from the electric signal, and a user determining unit comparing the walking pattern with a previously measured reference data by user and identifying the user based on the comparison result. The human recognition apparatus and the human recognition method are robust against peripheral noise and can increase an acceptance rate through a simple structure and procedure by using the waling pattern, which is one-dimensional time information requiring no vast data throughput, as the user identification data.