Obstacle Detection for Assisting Navigation of Visually Impaired People Based on Segmentation Process

Author:

Utaminingrum Fitri1,Sari Yuita Arum1,Somawirata I Komang2

Affiliation:

1. Computer Vision Research Group, Brawijaya University, Indonesia

2. Department of Electrical Engineering, National Institute of Technology (ITN Malang), Indonesia

Publisher

ACM

Reference19 articles.

1. Silvia P M. 2017. Blindness and Vision Impairment World Health Organizaton (WHO). Silvia P M. 2017. Blindness and Vision Impairment World Health Organizaton (WHO).

2. Sardegna J. Shelly S. Rutzen A.L and Steidl S.M 2002 The Encyclopedia of Blindness and Vision Impairement. Second Edition 1--333. Sardegna J. Shelly S. Rutzen A.L and Steidl S.M 2002 The Encyclopedia of Blindness and Vision Impairement. Second Edition 1--333.

3. Rosen S. 2018. Long Cane Techniques Study guide step-by-step a guide to mobility techniques. Available at https://tech.aph.org/ sbs/ 04_sbs_lc_study.html Rosen S. 2018. Long Cane Techniques Study guide step-by-step a guide to mobility techniques. Available at https://tech.aph.org/ sbs/ 04_sbs_lc_study.html

4. Blind MuseumTourer;Meliones A.;Technologies,2018

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1. Estudio exploratorio sobre la autopercepción de las competencias docentes en atención a educandos con discapacidad visual;Qualitas Revista Científica;2024-07-07

2. The Methods of Visually Impaired Navigating and Obstacle Avoidance;2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC);2023-06-16

3. Blindophile: Mobile Assistive Gesture-Empowered Ubiquitous Input Device;Advances in Intelligent Systems and Computing;2021

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