Enhanced obstacle detection using bilateral vision-aided transformer neural network for visually impaired persons

Obstacle detection remains vital in autonomous navigation and assistive technologies, especially for visually impaired individuals. This work introduces an enhanced obstacle detection framework based on a Bilateral Vision Transformer and Convolution Kernel Neural Network (BViT-CKNN). The system inco...

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Bibliographic Details

Main Authors:	Alarood, Ala Abdulsalam, Atoum, Mohammed Salem, Abdul Manaf, Azizah, Abubakar, Adamu, Alsmadi, Izzat
Format:	Article
Language:	en en en
Published:	Springer Nature Link 2025
Subjects:	Q350 Information theory
Online Access:	http://irep.iium.edu.my/123877/1/123877_Enhanced%20obstacle%20detection%20using%20bilateral.pdf http://irep.iium.edu.my/123877/2/123877_Enhanced%20obstacle%20detection%20using%20bilateral_Scopus.pdf http://irep.iium.edu.my/123877/3/123877_Enhanced%20obstacle%20detection%20using%20bilateral_WOS.pdf http://irep.iium.edu.my/123877/ https://link.springer.com/article/10.1007/s10586-025-05740-z
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