Multi-objective Cartesian Genetic Programming optimization of morphological filters in navigation systems for Visually Impaired People-Reference-Cited by-同舟云学术

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Multi-objective Cartesian Genetic Programming optimization of morphological filters in navigation systems for Visually Impaired People

Published:2020-04 Issue: Volume:89 Page:106130
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Dourado Antonio Miguel Batista^ORCID,Pedrino Emerson Carlos

Funder

Coordination for the Improvement of Higher Education Personnel (CAPES), Brazil

São Paulo Research Foundation (FAPESP), Brazil

Publisher

Elsevier BV

Subject

Software

Reference57 articles.

1. Blindness and vision impairment;WHO,2018

2. Increasing usability when interacting through screen readers;Leporini;Univ. Access Inf. Soc.,2004

3. Slide rule : Making mobile touch screens accessible to blind people using multi-touch interaction techniques;Kane;Design,2008

4. Navigation systems for individuals with visual impairment: A survey;Zhang,2008

5. Indoor scene segmentation using a structured light sensor;Silberman,2011

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards interactive customization of multimodal embedded navigation systems for visually impaired people;International Journal of Human-Computer Studies;2023-08

2. A Novel Approach for Object Detection Using Optimized Convolutional Neural Network to Assist Visually Impaired People;Proceedings of the First International Conference on Advances in Computer Vision and Artificial Intelligence Technologies (ACVAIT 2022);2023

3. Multi-obstacle aware smart navigation system for visually impaired people in fog connected IoT-cloud environment;Health Informatics Journal;2022-07

4. Development of Tangible Programming Learning System for Visually Impaired People;The Journal of Korean Institute of Information Technology;2022-03-31

5. Design and development of an indoor navigation system using denoising autoencoder based convolutional neural network for visually impaired people;Multimedia Tools and Applications;2022-01

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