Method and system for following balance vehicles on basis of signal strength

Abstract

The invention discloses a method and a system for following balance vehicles on the basis of signal strength. The method for following the balance vehicles on the basis of the signal strength includesstarting following modes; setting initial locations of the balance vehicles as coordinate original points; receiving wireless signals of intelligent equipment according to preset time intervals; computing the distances and the directions of the intelligent equipment and the balance vehicles according to the strength of the wireless signals; marking coordinates of the intelligent equipment relative to the coordinate original points according to the distances and the directions; forming movement tracks; allowing the balance vehicles to follow the movement tracks to move. The method and the system have the advantages that the balance vehicle following recognition accuracy can be improved, and schemes are simple.

Description

technical field [0001] The present invention relates to the field of balance car control, and more specifically, relates to a method and system for following a balance car based on signal strength. Background technique [0002] Electric balance car, also known as balance car, thinking car, its operating principle is mainly based on a basic principle called "dynamic stability", using the gyroscope and acceleration sensor inside the car body to detect the attitude of the car body Changes, using the servo control system, precisely drive the motor to make corresponding adjustments to maintain the balance of the system. [0003] There are generally two types of existing electric balance vehicles. One is that there is an operating lever on the vehicle body, and the user stands on the pedal platform of the electric balancing vehicle to operate the operating lever to move forward, backward and stop. Also known as "manual control". The other is that the car body is composed of two ...

AI Technical Summary

Problems solved by technology

However, the tracked user's clothing, accessories, hairstyles, etc. are changeable, which requires the user to set it every time he uses it, which is very inconvenient to use, and it is also difficult for the user to choose the target point. The area with a high degree of environmental recognition is used as the target point, which is conducive to improving the accuracy. If the recognition degree of the target point is too low, it is not as good as the way of computer self-recognition

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