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Deep Learning for Visually Impaired Navigation by mmmyang64 is a document available to read on EtoBox.

What is Deep Learning for Visually Impaired Navigation about?

This study presents a deep learning-based road surface detection system aimed at improving the mobility and independence of visually impaired individuals. Utilizing the EfficientNetB0 model and a unified spatial-channel attention mechanism, the system achieved a 99.39% accuracy in classifying road surfaces from images captured by a wearable camera. The proposed method enhances real-time navigation by providing immediate feedback on road conditions, thereby significantly aiding visually impaired users in saf

Author

mmmyang64

Language

EN