Dual vision self-positioning system for fully automatic lawn mowing robot

Abstract

The invention relates to a dual-vision self-positioning system for a full-automatic robot mower, which comprises a first vision acquisition module and a second vision acquisition module for carrying out real-time image acquisition, wherein each of the first vision acquisition module and the second vision acquisition module is composed of a data storage module, a wireless transmission module, a camera module and a control module; the camera module is connected with the data storage module; the data storage module is connected with the wireless transmission module; and the control module is connected with the data storage module, the camera module and the wireless transmission module for playing a role of coordinated control. The dual-vision self-positioning system for the full-automatic robot mower also comprises a main controller arranged on the full-automatic robot mower. The main controller is wirelessly connected with the first vision acquisition module and the second vision acquisition module. The main controller is also provided with grassland positioning algorithm for determining position coordinates of the full-automatic robot mower.

Description

technical field [0001] The invention relates to the self-positioning function of an outdoor mobile robot. Background technique [0002] As the coverage of outdoor grass green areas becomes wider, in order to improve the efficiency of mowing, save the time of mowing, and facilitate people's lives, fully automatic mowing robots have been widely used in daily life. The fully automatic mowing robot eliminates human labor, realizes the automation of mowing, improves the efficiency of mowing, and saves the cost and time cost of maintaining the grass. At the same time, in the practical application of fully automatic mowing robots, the outdoor grass is full of obstacles such as bushes, small mounds, trees, flowers, and special terrains such as ponds and low-lying lands. The existing automatic mowing robot visual self-positioning system needs more actual reference data, needs more types of sensors to cooperate, the calculation speed is slow and the positioning result is not accurate...

AI Technical Summary

Problems solved by technology

However, the existing visual self-positioning system for fully automatic lawn mowing robots cannot quickly and accurately provide position information for fully automatic lawn mowing robots, which restricts the accuracy of path planning and return charging efficiency of fully automatic lawn mowing robots.

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