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Design and Control of Robot Car for Target Tracking and Recognition Based on Arduino

  • Yunsheng LiEmail author
  • Chen Dongyue
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 891)

Abstract

This paper focuses on the study of robot car with multi-sensors, using Arduino UNO R3 development board to achieve doing information acquire, and marching strategy apply under various environmental conditions. The robot car can track and complete the obstacle avoidance. To successfully use the inexpensive microcontrollers, machine vision functions are achieved, and the application space of low-end MCUs is expanded. Image data been uploaded to the workstation real time using Wi-Fi communication module to processing. Image processing techniques are used to generate command signals from the real-time video stream, then guide the robot to act in a specified direction. The interaction with the robot car can be achieved by using round objects or specific colors (red, yellow, green). The difficulty of controlling the robot car has been reduced by this system. Experiments show that the automatic obstacle avoidance and target tracking system of the robot car designed in this paper can correctly realize the requirements of the subject.

Keywords

OpenCV Arduino Color recognition Hough circle transform Robot car 

Notes

Acknowledgements

Research supported by the Foundation of the Shaanxi Provincial Department of Education (project number: 16JK1703).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Intelligent Science and TechnologyXi’an University of Posts and TelecommunicationsXi’anChina
  2. 2.Department of Measurement Technology and InstrumentXi’an University of Posts and TelecommunicationsXi’anChina

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