東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Tracking Support for Collaborative Warehousing Using Head-Mounted Augmented Reality.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Tracking Support for Collaborative Warehousing Using Head-Mounted Augmented Reality./
作者:	He, Wennan.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	116 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-08, Section: B.
Contained By:	Dissertations Abstracts International83-08B.
標題:	Augmented reality. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28972440
ISBN:	9798780649984

Tracking Support for Collaborative Warehousing Using Head-Mounted Augmented Reality.
He, Wennan.

Tracking Support for Collaborative Warehousing Using Head-Mounted Augmented Reality. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 116 p.

Source: Dissertations Abstracts International, Volume: 83-08, Section: B.

Thesis (M.Phil.)--The Australian National University (Australia), 2021.

This item must not be sold to any third party vendors.

In this thesis, we show that the conventional workflows for tracking objects in a warehouse can be enhanced by a new Augmented Reality (AR) service. In particular, we have designed a Unity implementation of an AR toolkit for the Microsoft HoloLens based on a "indoor greenhouse" scenario, which enables the physical locations of plants (together with plant data such as nutritional status) to be tracked as they are moved by greenhouse workers. As part of this case study, we found that a considerable latency occurs when sharing the physical positions of the plant tray between multiple users in a collaborative scenario. To deal with this, we have improved Microsoft's Local Anchor Transfer method which only enables one "spatial anchor" (corresponding to the information of the physical location of an object) to be transferred for one object. Subsequently, we have designed a new One-For-AllShared-Experiences (OFALL-SE) method to enable many objects to be tracked by one Spatial Anchor. Our results show that use of the OFALL-SE method means that the transmission latencies can be greatly reduced.Although our OFALL-SE method can implement a near-real-time transmission of the spatial anchor when tracking multiple objects, its associated spatial limitations mean that it can only track objects through small regions of space. Following the recommendations of Microsoft, their Azure Spatial Anchor (ASA) service can overcome this limitation and used in a large space, but it requires a new toolkit which is independent with our OFALL-SE technique. ASA also requires external implementations by developers and it also lacks security on the user's anchor information. Thus, we have designed a new technique based on our OFALL-SE technique - Spatial Anchor Based Indoor Asset Tracking (SABIAT) - that achieves similar system features as ASA service such as multiple spatial anchors management over a large area. SABIAT can be implemented as a standalone application or integrated into other AR applications to provide location-based services such as our OFALL-SE method. With this new technique, We also created a standalone AR application - AR-IPS, which show that objects can hop between different spatial anchors, and the historical positions of multiple objects can be tracked, visualized and recorded.

ISBN: 9798780649984Subjects--Topical Terms:

1620831
Augmented reality.

Tracking Support for Collaborative Warehousing Using Head-Mounted Augmented Reality.
LDR:03427nmm a2200349 4500 001 2350384
005 20221020125749.5
008 241004s2021 ||||||||||||||||| ||eng d
020 $a 9798780649984
035 $a (MiAaPQ)AAI28972440
035 $a (MiAaPQ)AustNatlU1885227143
035 $a AAI28972440
040 $a MiAaPQ $c MiAaPQ
100 1 $a He, Wennan. $3 3689862
245 1 0 $a Tracking Support for Collaborative Warehousing Using Head-Mounted Augmented Reality.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 116 p.
500 $a Source: Dissertations Abstracts International, Volume: 83-08, Section: B.
500 $a Advisor: Gardner, Henry.
502 $a Thesis (M.Phil.)--The Australian National University (Australia), 2021.
506 $a This item must not be sold to any third party vendors.
520 $a In this thesis, we show that the conventional workflows for tracking objects in a warehouse can be enhanced by a new Augmented Reality (AR) service. In particular, we have designed a Unity implementation of an AR toolkit for the Microsoft HoloLens based on a "indoor greenhouse" scenario, which enables the physical locations of plants (together with plant data such as nutritional status) to be tracked as they are moved by greenhouse workers. As part of this case study, we found that a considerable latency occurs when sharing the physical positions of the plant tray between multiple users in a collaborative scenario. To deal with this, we have improved Microsoft's Local Anchor Transfer method which only enables one "spatial anchor" (corresponding to the information of the physical location of an object) to be transferred for one object. Subsequently, we have designed a new One-For-AllShared-Experiences (OFALL-SE) method to enable many objects to be tracked by one Spatial Anchor. Our results show that use of the OFALL-SE method means that the transmission latencies can be greatly reduced.Although our OFALL-SE method can implement a near-real-time transmission of the spatial anchor when tracking multiple objects, its associated spatial limitations mean that it can only track objects through small regions of space. Following the recommendations of Microsoft, their Azure Spatial Anchor (ASA) service can overcome this limitation and used in a large space, but it requires a new toolkit which is independent with our OFALL-SE technique. ASA also requires external implementations by developers and it also lacks security on the user's anchor information. Thus, we have designed a new technique based on our OFALL-SE technique - Spatial Anchor Based Indoor Asset Tracking (SABIAT) - that achieves similar system features as ASA service such as multiple spatial anchors management over a large area. SABIAT can be implemented as a standalone application or integrated into other AR applications to provide location-based services such as our OFALL-SE method. With this new technique, We also created a standalone AR application - AR-IPS, which show that objects can hop between different spatial anchors, and the historical positions of multiple objects can be tracked, visualized and recorded.
590 $a School code: 0433.
650 4 $a Augmented reality. $3 1620831
650 4 $a Software. $2 gtt. $3 619355
650 4 $a Internet. $3 527226
650 4 $a Design. $3 518875
650 4 $a Interfaces. $2 gtt $3 834756
650 4 $a Wireless access points. $3 3684130
650 4 $a Industrial engineering. $3 526216
650 4 $a Artificial intelligence. $3 516317
650 4 $a Operations research. $3 547123
650 4 $a Information technology. $3 532993
690 $a 0389
690 $a 0796
690 $a 0489
690 $a 0800
690 $a 0546
710 2 $a The Australian National University (Australia). $3 1952885
773 0 $t Dissertations Abstracts International $g 83-08B.
790 $a 0433
791 $a M.Phil.
792 $a 2021
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28972440