Intelligent walking robot based on integration of multi-sensor technologies

Abstract

The invention discloses an intelligent walking robot based on integration of multi-sensor technologies. The intelligent walking robot includes a moving part, a laser sensor, an image sensor, a 5G communication module, a positioning module, a neural network calculation module, a central processing unit and a drive controller. The image sensor obtains a flat image of the external environment, the laser sensor performs deep recognition on a current image, and the neural network calculation module and the 5G communication module capable of achieving high-precision positioning are combined to automatically build an indoor 3D map. On one hand, the 5G dense networking characteristic is utilized to achieve indoor high-precision positioning, and the problems of high cost and low accuracy of a traditional positioning method are solved; on the other hand, the laser sensor and the image sensor are combined to achieve quick indoor map drawing, and the map drawing accuracy is higher; and finally, the neural network calculation module is used for quickly identifying various obstacles and paths in the current environment, and the function of quickly adapting to the new environment is realized.

Description

technical field [0001] The invention relates to the field of intelligent navigation equipment, in particular to an intelligent walking robot based on the fusion of multiple sensing technologies. Background technique [0002] With the rise of intelligent navigation, the recognition ability of navigation equipment or unmanned equipment has undergone great changes, and the recognition ability of intelligent navigation depends on the acquisition equipment and data processing chip integrated on the device. Currently, the navigation for indoor positioning Equipment, relying on traditional positioning technology, the positioning deviation is very large. It needs to rely on multiple sensors to collect data multiple times, and then use the data processing chip to draw an indoor map. However, this kind of indoor navigation equipment takes a while to reset after changing the working environment. Draw a map, the system is slow to enter the normal working state and easy to locate errors....

AI Technical Summary

Problems solved by technology

[0002] With the rise of intelligent navigation, the recognition ability of navigation equipment or unmanned equipment has undergone great changes, and the recognition ability of intelligent navigation depends on the acquisition equipment and data processing chip integrated on the device. Currently, the navigation for indoor positioning Equipment, relying on traditional positioning technology, the positioning deviation is very large. It needs to rely on multiple sensors to collect data multiple times, and then use the data processing chip to draw an indoor map. However, this kind of indoor navigation equipment takes a while to reset after changing the working environment. Draw a map, the system is slow to enter the normal working state and easy to locate errors

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