國立虎尾科技大學 |

Vision-Based Assistive Indoor Localization.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Vision-Based Assistive Indoor Localization./
作者:	Hu, Feng.
面頁冊數:	1 online resource (134 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.
標題:	Computer science. -
電子資源:	click for full text (PQDT)
ISBN:	9780355636871

Vision-Based Assistive Indoor Localization.
Hu, Feng.

Vision-Based Assistive Indoor Localization. - 1 online resource (134 pages)

Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.

Thesis (Ph.D.)--City University of New York, 2018.

Includes bibliographical references

An indoor localization system is of significant importance to the visually impaired in their daily lives by helping them localize themselves and further navigate an indoor environment. In this thesis, a vision-based indoor localization solution is proposed and studied with algorithms and their implementations by maximizing the usage of the visual information surrounding the users for an optimal localization from multiple stages. The contributions of the work include the following: (1) Novel combinations of a daily-used smart phone with a low-cost lens (GoPano) are used to provide an economic, portable, and robust indoor localization service for visually impaired people. (2) New omnidirectional features (omni-features) extracted from 360 degrees field-of-view images are proposed to represent visual landmarks of indoor positions, and then used as on-line query keys when a user asks for localization services. (3) A scalable and light-weight computation and storage solution is implemented by transferring big database storage and computational heavy querying procedure to the cloud. (4) Real-time query performance of 14 fps is achieved with a Wi-Fi connection by identifying and implementing both data and task parallelism using many-core NVIDIA GPUs. (5) Rene localization via 2D-to-3D and 3D-to-3D geometric matching and automatic path planning for efficient environmental modeling by utilizing architecture AutoCAD floor plans.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355636871Subjects--Topical Terms:

573171
Computer science.
Index Terms--Genre/Form:

554714
Electronic books.

Vision-Based Assistive Indoor Localization.
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500 $a Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.
500 $a Adviser: Zhigang Zhu.
502 $a Thesis (Ph.D.)--City University of New York, 2018.
504 $a Includes bibliographical references
520 $a An indoor localization system is of significant importance to the visually impaired in their daily lives by helping them localize themselves and further navigate an indoor environment. In this thesis, a vision-based indoor localization solution is proposed and studied with algorithms and their implementations by maximizing the usage of the visual information surrounding the users for an optimal localization from multiple stages. The contributions of the work include the following: (1) Novel combinations of a daily-used smart phone with a low-cost lens (GoPano) are used to provide an economic, portable, and robust indoor localization service for visually impaired people. (2) New omnidirectional features (omni-features) extracted from 360 degrees field-of-view images are proposed to represent visual landmarks of indoor positions, and then used as on-line query keys when a user asks for localization services. (3) A scalable and light-weight computation and storage solution is implemented by transferring big database storage and computational heavy querying procedure to the cloud. (4) Real-time query performance of 14 fps is achieved with a Wi-Fi connection by identifying and implementing both data and task parallelism using many-core NVIDIA GPUs. (5) Rene localization via 2D-to-3D and 3D-to-3D geometric matching and automatic path planning for efficient environmental modeling by utilizing architecture AutoCAD floor plans.
520 $a This dissertation first provides a description of assistive indoor localization problem with its detailed connotations as well as overall methodology. Then related work in indoor localization and automatic path planning for environmental modeling is surveyed. After that, the framework of omnidirectional-vision-based indoor assistive localization is introduced. This is followed by multiple refine localization strategies such as 2D-to-3D and 3D-to-3D geometric matching approaches. Finally, conclusions and a few promising future research directions are provided.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Computer science. $3 573171
655 7 $a Electronic books. $2 local $3 554714
690 $a 0984
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710 2 $a City University of New York. $b Computer Science. $3 1184450
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