Abstract
Ultrasonic sensors (HCSR04) are used for distance measurements whose range extends up to a distance of 4 m. These kinds of sensors are found being used in car reverse parking mechanisms and also helping blind people in navigation. But, there always exists a trade-off between distance and accuracy. This paper presents a method to improve the accuracy of an ultrasonic sensor using soft computing techniques for 2-D indoor localization. Advanced neuro fuzzy inference system (ANFIS) was used to minimize the error in distance measurement. Finally, the simulated FIS model was implemented in hardware for real-time evaluation. The error analysis showed that the distance estimation accuracy was improved by 77%.
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Vijay Sunder, R., Venkatachalam, S., Sree Yeshvathi, G., Venkat Hruday, K., Adarsh, S. (2021). Improving the Performance of an Ultrasonic Sensor Using Soft Computing Techniques for 2D Localization. In: Pandian, A.P., Palanisamy, R., Ntalianis, K. (eds) Proceedings of International Conference on Intelligent Computing, Information and Control Systems. Advances in Intelligent Systems and Computing, vol 1272. Springer, Singapore. https://doi.org/10.1007/978-981-15-8443-5_16
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DOI: https://doi.org/10.1007/978-981-15-8443-5_16
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