An ARCore Based User Centric Assistive Navigation System for Visually Impaired People
In this work, we propose an assistive navigation system for visually impaired people (ANSVIP) that takes advantage of ARCore to acquire robust computer vision-based localization. To complete the system, we propose adaptive artificial potential field (AAPF) path planning that considers both efficienc...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-03-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/9/5/989 |
| _version_ | 1828858821214208000 |
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| author | Xiaochen Zhang Xiaoyu Yao Yi Zhu Fei Hu |
| author_facet | Xiaochen Zhang Xiaoyu Yao Yi Zhu Fei Hu |
| author_sort | Xiaochen Zhang |
| collection | DOAJ |
| description | In this work, we propose an assistive navigation system for visually impaired people (ANSVIP) that takes advantage of ARCore to acquire robust computer vision-based localization. To complete the system, we propose adaptive artificial potential field (AAPF) path planning that considers both efficiency and safety. We also propose a dual-channel human–machine interaction mechanism, which delivers accurate and continuous directional micro-instruction via a haptic interface and macro-long-term planning and situational awareness via audio. Our system user-centrically incorporates haptic interfaces to provide fluent and continuous guidance superior to the conventional turn-by-turn audio-guiding method; moreover, the continuous guidance makes the path under complete control in avoiding obstacles and risky places. The system prototype is implemented with full functionality. Unit tests and simulations are conducted to evaluate the localization, path planning, and human–machine interactions, and the results show that the proposed solutions are superior to those of the present state-of-the-art solutions. Finally, integrated tests are carried out with low-vision and blind subjects to verify the proposed system. |
| first_indexed | 2024-12-13T02:04:13Z |
| format | Article |
| id | doaj.art-4a492896d48642f49d0e02e92392cdaf |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-13T02:04:13Z |
| publishDate | 2019-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-4a492896d48642f49d0e02e92392cdaf2022-12-22T00:03:10ZengMDPI AGApplied Sciences2076-34172019-03-019598910.3390/app9050989app9050989An ARCore Based User Centric Assistive Navigation System for Visually Impaired PeopleXiaochen Zhang0Xiaoyu Yao1Yi Zhu2Fei Hu3Department of Industrial Design, Guangdong University of Technology, Guangzhou 510006, ChinaDepartment of Industrial Design, Guangdong University of Technology, Guangzhou 510006, ChinaDepartment of Industrial Design, Guangdong University of Technology, Guangzhou 510006, ChinaDepartment of Industrial Design, Guangdong University of Technology, Guangzhou 510006, ChinaIn this work, we propose an assistive navigation system for visually impaired people (ANSVIP) that takes advantage of ARCore to acquire robust computer vision-based localization. To complete the system, we propose adaptive artificial potential field (AAPF) path planning that considers both efficiency and safety. We also propose a dual-channel human–machine interaction mechanism, which delivers accurate and continuous directional micro-instruction via a haptic interface and macro-long-term planning and situational awareness via audio. Our system user-centrically incorporates haptic interfaces to provide fluent and continuous guidance superior to the conventional turn-by-turn audio-guiding method; moreover, the continuous guidance makes the path under complete control in avoiding obstacles and risky places. The system prototype is implemented with full functionality. Unit tests and simulations are conducted to evaluate the localization, path planning, and human–machine interactions, and the results show that the proposed solutions are superior to those of the present state-of-the-art solutions. Finally, integrated tests are carried out with low-vision and blind subjects to verify the proposed system.http://www.mdpi.com/2076-3417/9/5/989assistive technologyARCoreuser centric designnavigation aidshaptic interactionadaptive path planningvisual impairmentSLAM |
| spellingShingle | Xiaochen Zhang Xiaoyu Yao Yi Zhu Fei Hu An ARCore Based User Centric Assistive Navigation System for Visually Impaired People Applied Sciences assistive technology ARCore user centric design navigation aids haptic interaction adaptive path planning visual impairment SLAM |
| title | An ARCore Based User Centric Assistive Navigation System for Visually Impaired People |
| title_full | An ARCore Based User Centric Assistive Navigation System for Visually Impaired People |
| title_fullStr | An ARCore Based User Centric Assistive Navigation System for Visually Impaired People |
| title_full_unstemmed | An ARCore Based User Centric Assistive Navigation System for Visually Impaired People |
| title_short | An ARCore Based User Centric Assistive Navigation System for Visually Impaired People |
| title_sort | arcore based user centric assistive navigation system for visually impaired people |
| topic | assistive technology ARCore user centric design navigation aids haptic interaction adaptive path planning visual impairment SLAM |
| url | http://www.mdpi.com/2076-3417/9/5/989 |
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