A real-time position control method and system for multiple intelligent vehicles

Through image processing and linear interpolation, the expected coordinates of smart cars are calculated, and the wheel speed is obtained in combination with kinematics models, the accuracy and stability problems of the existing multi-intelligent car system in real-time position control are solved, and efficient and economical position control effect is achieved.

CN118859937BActive Publication Date: 2025-03-18JISHOU UNIVERSITY
2 Cites 0 Cited by

Patent Information

Application Number
CN202410868405.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-07-01
Publication Date
2025-03-18
Estimated Expiration
2044-07-01

AI Technical Summary

Technical Problem

The existing multi-intelligent trolley systems have problems of low accuracy, poor stability and high cost in real-time position control, especially in complex environments, which are difficult to achieve accurate and fast position control.

Method used

By acquiring the image data of the smart car for image processing, a camera coordinate system is constructed, the desired coordinates are calculated using linear interpolation method, and the left and right wheel speeds are obtained through the smart car kinematic model, which is converted into stepper motor control pulses to achieve accurate position control.

Benefits of technology

It improves the accuracy and stability of real-time position control of multiple smart cars, reduces system costs, and enhances the adaptability and robustness of smart cars in complex environments.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The present invention discloses a method for real-time position control of multiple intelligent cars, comprising the following steps: acquiring image data of multiple intelligent cars, and performing image processing on the image data; constructing a camera coordinate system, and obtaining the real-time coordinates and attitude angles of the multiple intelligent cars at each moment in a custom coordinate system according to the motion pictures of the multiple intelligent cars at each moment obtained by image processing; using a linear interpolation method to calculate the expected coordinates of the multiple intelligent cars at each moment, and obtaining the position error of the multiple intelligent cars according to the expected coordinates and real-time coordinates of the multiple intelligent cars at each moment; constructing a kinematic model of the intelligent car, obtaining the left and right wheel speeds of the multiple intelligent car, and converting the left and right wheel speeds of the multiple intelligent car into control pulses of the left and right stepping motors of the intelligent car, driving the intelligent car to move at a specified speed, thereby achieving the expected running trajectory of the intelligent car. The present invention solves the technical problem of how to accurately and quickly perform real-time position control of multiple intelligent cars and improve the accuracy and stability of control.
Need to check novelty before this filing date? Find Prior Art