Abstract
Taking shopping carts as the research object, this paper designs a detachable smart traction system. With the STM32 minimum system as the control kernel, an indoor Ultra-Wideband infinite positioning area consisting of three base stations and two tags can be constructed. Using TOF (Time of Flight) double-sided two-way ranging method, the automatic positioning of tags can be realized. By doing so, the traction system where passive tags are located can follow the data of active tags for automatic following and automatic return. In addition to that, this paper studies the principle and algorithm of obstacle avoidance based on infrared sensors. By means of multiple infrared sensors, the relationship between obstacles and shopping carts can be calculated so that the avoiding direction can be determined.
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Acknowledgements
This work was supported in part by the Educational and Scientific Research Project of young and middle-aged teachers in Fujian Provincial Department of Education under Grant 4010120010, and in part by the technological plan project of Longyan, Fujian Province under Grant 2018LYF7006.
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Li, P., Lin, Q., Xie, H., Zheng, Y., Xu, M., Liao, X. (2022). Design of Smart Shopping Cart Traction System Based on STM32. In: Li, X. (eds) Advances in Intelligent Automation and Soft Computing. IASC 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 80. Springer, Cham. https://doi.org/10.1007/978-3-030-81007-8_20
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DOI: https://doi.org/10.1007/978-3-030-81007-8_20
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