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A SURVEY ON RECENT ADVANCES IN AI AND VISION-BASED METHODS FOR HELPING AND GUIDING VISUALLY IMPAIRED PEOPLE

Hélène Walle 1, 2 Barthélemy Serres 3 Venturini Gilles 1 Cyril de Runz 2 
1 RFAI - Reconnaissance des formes et analyse d'images
LIFAT - Laboratoire d'Informatique Fondamentale et Appliquée de Tours
2 BDTLN - Bases de données et traitement des langues naturelles
LIFAT - Laboratoire d'Informatique Fondamentale et Appliquée de Tours
Abstract : We present in this paper a state of the art and an analysis of the recent research work 1 and achievements performed in the domain of AI-based and vision-based systems for helping 2 blind and visually impaired people (BVIP). We start by highlighting the recent and tremendous 3 importance that AI has acquired with the use of convolutional neural networks (CNN) and with 4 their ability to efficiently solve image classification tasks. We remind also that VIP have great 5 expectations about AI-based system as a possible way to ease the perception of their environment 6 and to improve their everyday life. Then we set the scope of our survey: we concentrate our 7 investigations on the use of CNN or related methods in a vision-based system for helping VIP. 8 We analyze the existing surveys and we study the current work (a selection of 30 case studies) 9 along several dimensions such as acquired data, the learned models and the Human-Computer 10 interfaces. We compare the different approaches and we conclude by analyzing the future trends 11 in this domain.
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https://hal.archives-ouvertes.fr/hal-03610027
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Submitted on : Wednesday, March 16, 2022 - 9:54:21 AM
Last modification on : Tuesday, March 22, 2022 - 3:34:39 AM
Long-term archiving on: : Friday, June 17, 2022 - 6:41:03 PM

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Hélène Walle, Barthélemy Serres, Venturini Gilles, Cyril de Runz. A SURVEY ON RECENT ADVANCES IN AI AND VISION-BASED METHODS FOR HELPING AND GUIDING VISUALLY IMPAIRED PEOPLE. Applied Sciences, MDPI, 2022, 12 (5), pp.2308. ⟨10.3390/app12052308⟩. ⟨hal-03610027⟩

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