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.
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Acknowledgements
Research supported by the Foundation of the Shaanxi Provincial Department of Education (project number: 16JK1703).
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Li, Y., Dongyue, C. (2019). Design and Control of Robot Car for Target Tracking and Recognition Based on Arduino. In: Krömer, P., Zhang, H., Liang, Y., Pan, JS. (eds) Proceedings of the Fifth Euro-China Conference on Intelligent Data Analysis and Applications. ECC 2018. Advances in Intelligent Systems and Computing, vol 891. Springer, Cham. https://doi.org/10.1007/978-3-030-03766-6_71
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DOI: https://doi.org/10.1007/978-3-030-03766-6_71
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