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Smart Guide Glasses Based on YOLOv5 and Binocular Ranging Algorithms

Maolin Ye, Shaogeng Zeng, Jinhao Qiu, Zhan Huan, Yuhang Deng

Abstract


With the continuous development of science and technology, intelligent guide technology has become an important field to improve the quality of life of visually impaired people. YOLOv5 and binocular ranging technology, as key innovations in the field of computer vision and deep learning, bring new opportunities and challenges to intelligent guide blindness systems. This paper aims to deeply study the principle of YOLOv5 and binocular ranging technology, as well as their specific applications in the field of blindness guidance, focusing on their role and advantages in obstacle detection, distance measurement and navigation accuracy improvement.

Keywords


Intelligent guide; YOLOv5; Binocular ranging; Object detection

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References


[1] Elfwing, Stefan, Eiji Uchibe and Kenji Doya. “Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning.” Neural networks: the offi cial journal of the International Neural Network Society 107 (2017): 3-11

[2] Redmon J , Divvala S , Girshick R ,et al.You Only Look Once: Unifi ed, Real-Time Object Detection[C].Computer Vision & Pattern Recognition.IEEE, 2016.DOI:10.1109/CVPR.2016.91.




DOI: http://dx.doi.org/10.18686/ahe.v7i35.12523

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