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Autonomous Mobile Robot Using Vision System and ESP8266 Node MCU Board

Autonomous Mobile Robot Using Vision System and ESP8266 Node MCU Board

Original Research ArticleJan 19, 2021Vol. 21 No. 3 (2021)

Abstract

This paper proposes an automated mobile robot indoor system. A web camera sensor is equipped to detect the current location of the vehicle. The web camera is located above to capture the object and environment for mapping. The images come from the web camera via a USB interface to the computer. The image processing method is used to determine the position of the mobile robot for giving the input of path planning. The microcontroller obtains interactive actions with the combinations of image processing and suitable path planning to control the direction of the mobile robot. The experimental results show that the vision system can interact with the microcontroller. The robot can move automatically from the starting point to the goal.

Keywords: vision system; autonomous vehicle; mobile robot; microcontroller; image processing

*Corresponding author: Tel.: (086) 4259561

                                             E-mail: napassadol.s@mail.rmutk.ac.th

How to Cite

Singhata*, N. undefined. . (2021). Autonomous Mobile Robot Using Vision System and ESP8266 Node MCU Board. CURRENT APPLIED SCIENCE AND TECHNOLOGY, 467-480.

References

  • Farag, W., 2018. Recognition of traffic signs by convolutional neural nets for self-driving vehicles. International Journal of Knowledge Based and Intelligent Engineering Systems, 22(3), 205-214.
  • Elbagoury, B. M., Maskeliunas, R. and Salem, A. B. M. M., 2018. A Hybrid Liar/Radar-based deep learning and vehicle recognition engine for autonomous vehicle precrash control. Eastern-European Journal of Enterprise Technologies, 5(9), 6-17.
  • Zhou, Z., Akhtar, Z., Man, KL. and Siddique, K., 2019. A deep learning platooning-based video information-sharing internet of things framework for autonomous driving systems. International Journal of Distributed Sensor Networks, 15(11), 1550147719883133 https://doi.org/10.1177/
  • Boukerche, A., Siddiqui, A.J. and Mammeri, A., 2017. Automated vehicle detection and classification: Models, methods, and techniques. ACM Computing Surveys, 50(5), 62, https://doi.org/10.1145/3107614
  • Li, B., Zheng, S. and Qiu, M., 2018. Research on picking identification and positioning system based on IOT. International Journal of Online and Biomedical Engineering, 14(7), 149-160.

Author Information

Napassadol Singhata*

Department of Automation and Robotic Engineering, Faculty of Engineering, Rajamangala University of Technology Krungthep, Bangkok, Thailand

About this Article

Journal

Vol. 21 No. 3 (2021)

Type of Manuscript

Original Research Article

Keywords

vision system; autonomous vehicle; mobile robot; microcontroller; image processing

Published

19 January 2021