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1602 results about "Vision based" patented technology

Dynamic target tracking and positioning method of unmanned plane based on vision

The invention discloses a dynamic target tracking and positioning method of an unmanned plane based on vision, and belongs to the navigation field of the unmanned planes. The dynamic target tracking and positioning method comprises the following steps of: carrying out video processing, dynamic target detecting and image tracking; carrying out cloud deck servo control; establishing a corresponding relationship between a target in the image and a target in the real environment, and further measuring the distance between a camera and a dynamic target to complete precise positioning of the dynamic target; and enabling an unmanned plane control system to fly by automatically tracking the dynamic target on the ground. The dynamic target tracking and positioning method of the unmanned plane based on the vision can automatically realize the movement target detecting, image tracking and optical axis automatic deflecting without the full participation of the people, so that the dynamic target is always displayed at the center of an image-forming plane; and the distance between the unmanned plane and the dynamic target is measured in real time according to an established model on the basis of obtaining the height information of the unmanned plane. Therefore, the positioning of the dynamic target is realized; closed-loop control is formed by using the positioned dynamic target as a feedback signal, so that the tracking flight of the unmanned plane is guided.

Method for detecting road information and identifying forward vehicles based on vision

InactiveCN104392212AAchieve the effect of adaptive matching imageReduce processing rangeImage analysisRoad vehicles traffic controlVision basedFeature parameter
The invention belongs to the field of intelligent automobile road detection and relates to a method for detecting road information and identifying forward vehicles based on vision. The method comprises image preprocessing, lane line characteristic parameter extraction, region-of-interest segmentation and vehicle outline identification. According to the method for detecting the road information and identifying the forward vehicles based on vision, the complexity of computation is simplified by extracting the regions of interest, filtering out background regions and reducing the processing scope; the processing result of each frame of image is obtained through fixed computation times by use of a line-by-line retrieval method, and differing from the characteristic, namely linear fitting on each bright spot, of Hough conversion, the method has outstanding advantages in algorithm instantaneity; the instantaneity of the Robinson direction model operator is improved, and an intermediate variable is set to reduce the computation times of each pixel point. The regions of interest are screened and judged by use of an information entropy and a vehicle tail symmetry characteristic in the target region, and therefore, the omission factor and the false drop rate of the algorithm are reduced.

A three-dimensional wire frame structure method and system fusing a binocular camera and IMU positioning

The invention relates to a three-dimensional wire frame structure method and system fusing a binocular camera and IMU positioning. On the basis of binocular vision, the invention initializes and fusesinertial measurement information by using a divide-and-conquer strategy, implements tracking, positioning and drawing, and can robustly run in indoor and outdoor environments and complex motion conditions. On the basis of accurate positioning, 3D wireframe reconstruction and iterative optimization are carried out based on the posture of the key frame. Linear segments are matched by local featuresand spatial geometric constraints and back-projected into three-dimensional space. Through the angle and distance constraints, the straight line segments are divided into different sets. Based on thegrouping results, the fitting region is determined and the straight line segments are merged. Finally, a 3-D wireframe structure is output. The invention fuses multi-source information to improve thestability and robustness of the system on the traditional vision-based positioning and mapping method. At the same time, line information is added to the key frame to sparsely express the structuralcharacteristics of the three-dimensional environment, which improves the computational efficiency.

System and method for grinding industrial robot on basis of visual information

The invention relates to a system and a method for grinding an industrial robot on the basis of visual information. In the system, the image of a workpiece is collected by a video camera; the workpiece is positioned by computer recognition; the movement locus points of a mechanical arm from the current position to a fetching position are planned on line to control the mechanical arm to fetch the workpiece; and then, the revolving speed and the revolving direction of an abrasive belt are controlled by a preset operation step of grinding so as to control the industrial robot to move the workpiece to an appointed position and gesture for grinding and polishing the workpiece. In the system, the video camera collects the image of the workpiece in real time; the workpiece is identified and positioned by the computer to control the mechanical arm to fetch the workpiece; the movement of the industrial robot and the running state of a grinder in the workpiece grinding operation are controlled; the data end of a computer is connected with the data end of the control cabinet of the industrial robot; output locus points controls the industrial robot to move; and the data end of the computer is connected with the data end of the grinder to control the grinder to start and stop and control the revolving speed and the revolving direction of the abrasive belt.
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