Navigation method for visual automatic guided vehicle (AGV)

Abstract

The invention relates to a navigation method for a visual automatic guided vehicle (AGV). A vehicle-mounted camera connected with a control center is mounted on the AGV; the control center is providedwith software for image processing and mark belt edge identification; and the control center is connected with a driving program of the AGV. The navigation method comprises the following steps that 1, software initialization is conducted, and parameters required for visual navigation are loaded; 2, after the parameters are loaded, the camera is started to read the current frame of an image to berecorded as srcFrame, if the srcFrame is empty, the program ends, and if the srcFrame is not empty, the srcFrame enters into the step 3; and 3, the while chain image processing process is conducted; and 4, the decision condition is output, and the driving program of the AGV decides movement in the actual scene according to the condition. Compared with the prior art, the navigation method has the advantages that guidance precision is high, path setting and change are easy and flexible, and the intelligence degree is high.

Description

technical field [0001] The invention relates to the field of AGV navigation, in particular to a navigation method for a visual AGV. Background technique [0002] AGV, that is, automatic guided vehicle, the main function is to be guided by magnetic, laser and other guiding devices and run along the programmed path to complete the operation under the control of computer and wireless local area network. In essence, it provides a highly flexible and automated mode of transportation for modern manufacturing logistics. It can quickly and accurately transport materials to the designated location, and the transportation path can be easily adjusted, which liberates the labor force to a certain extent and improves production efficiency and flexibility. [0003] With the development of industrial modernization, more and more flexible production lines and automated logistics systems are applied to various industries, which has greatly promoted the rapid development of AGV, but at the s...

AI Technical Summary

Problems solved by technology

[0004] 1. Electromagnetic induction guidance has strong anti-interference ability, but poor flexibility, and it is not easy to change the line;

[0005] 2. The guiding mode of the magnetic conduction tape is easily interfered by other substances;

[0006] 3. Inertial guidance needs the correction of the positioning block, and it is not easy to run for a long time;

[0007] 4. Laser guidance performs geometric operations on the angle and direction of the laser beam reflected by the reflector, but the cost is too high, which restricts the popularization and application

However, this utility model uses the magnetic conduction tape guidance method, which is easily interfered by other substances, and the guidance accuracy is low

Images