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Quoc Khanh Dang1, Youngjoon Chee2, Duy Duong Pham3
1Department of Electrical Engineering, University of Ulsan, Namgu, Ulsan 680-749, Korea. khanhdq8689@gmail.com.
This study introduces a virtual blind cane using a camera, laser, and IMU to help visually impaired individuals identify obstacles and their distances indoors. The system accurately classifies obstacle types and measures distances for enhanced navigation.
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