Experiment on Real-Time Image Processing in the Controlling of Mecanum Wheel Robotic Car

被引：0

作者：

Oo, Aung San ^{[1
]}

Naing, Min Yan ^{[1
]}

Nilkhamhang, Itthisek ^{[2
]}

Than, Thida ^{[1
]}

机构：

[1] Yangon Technol Univ, Yangon, Myanmar

[2] Thammasat Univ, Sirindhorn Int Inst Technol, Bangkok, Thailand

来源：

2019 FIRST INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION, CONTROL, ARTIFICIAL INTELLIGENCE, AND ROBOTICS (ICA-SYMP 2019) | 2019年

关键词：

Computer Vision; Pattern Recognition; Oriented FAST and Rotated Brief Mecanum Wheel Robotic Car; NRF Wireless Communication;

D O I：

10.1109/ica-symp.2019.8646199

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The control method of the mccanum wheel robotic car is accomplished by computer vision. The camera attached to the computer is for the purpose of image processing with open source computer vision (OpenCV). It can capture the locations of the wheel robot and the target by the use of open source computer vision as pattern recognition scheme. By using the Oriented FAST and Rotated Brief (ORB) feature, the program finds the patterns. The locations of the target and the robot are obtained by K-Nlean Clustering method. And then, the programming method is used to calculate their location difference to generate a movement command. The movement command is then sent to the microcontroller of wheel robot system by means of wireless communication using NRF radio modules. By doing so, the robotic car goes to target with the command of computer vision program. The experimental results confirmed that the performance of the control algorithm could be utilized for the real-time condition.

引用

页码：41 / 44

页数：4