A Review: Current Trend of Immersive Technologies for Indoor Navigation and the Algorithms
The term “indoor navigation system” pertains to a technological or practical approach that facilitates the navigation and orientation of individuals within indoor settings, such as museums, airports, shopping malls, or buildings. Over several years, significant advancements have been made in indoor...
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| Format: | Article |
| Language: | en |
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Pertanika
2024
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| Online Access: | http://eprints.uthm.edu.my/12381/1/J17837_aa5ce6c7362588fdccb187b55b22efd2.pdf http://eprints.uthm.edu.my/12381/ https://doi.org/10.47836/pjst.32.2.25 |
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| _version_ | 1833419778899836928 |
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| author | Sariman, Muhammad Shazmin Othman, Maisara Mat Akir, Rohaida Mahamad, Abd Kadir Ab Rahman, Munirah |
| author_facet | Sariman, Muhammad Shazmin Othman, Maisara Mat Akir, Rohaida Mahamad, Abd Kadir Ab Rahman, Munirah |
| author_sort | Sariman, Muhammad Shazmin |
| building | UTHM Library |
| collection | Institutional Repository |
| content_provider | Universiti Tun Hussein Onn Malaysia |
| content_source | UTHM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | The term “indoor navigation system” pertains to a technological or practical approach that facilitates the navigation and orientation of individuals within indoor settings, such as museums, airports, shopping malls, or buildings. Over several years, significant advancements have been made in indoor navigation. Numerous studies have been conducted on the issue. However, a fair evaluation and comparison of indoor navigation algorithms have not been discussed further. This paper presents a comprehensive review of collective algorithms developed for indoor navigation. The in-depth analysis of these articles concentrates on both advantages and disadvantages, as well as the different types of algorithms used in each article. A systematic literature review (SLR) methodology guided our article-finding, vetting, and grading processes. Finally, we narrowed the pool down to 75 articles using SLR. We organized them into several groups according to their topics. In these quick analyses, we pull out the most important concepts, article types, rating criteria, and the positives and negatives of each piece. Based on the findings of this review, we can conclude that an efficient solution for indoor navigation that uses the capabilities of embedded data and technological advances in immersive technologies can be achieved by training the shortest path algorithm with
a deep learning algorithm to enhance the indoor navigation system. |
| format | Article |
| id | my.uthm.eprints-12381 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | en |
| publishDate | 2024 |
| publisher | Pertanika |
| record_format | eprints |
| spelling | my.uthm.eprints-123812025-02-24T08:44:48Z http://eprints.uthm.edu.my/12381/ A Review: Current Trend of Immersive Technologies for Indoor Navigation and the Algorithms Sariman, Muhammad Shazmin Othman, Maisara Mat Akir, Rohaida Mahamad, Abd Kadir Ab Rahman, Munirah TK Electrical engineering. Electronics Nuclear engineering The term “indoor navigation system” pertains to a technological or practical approach that facilitates the navigation and orientation of individuals within indoor settings, such as museums, airports, shopping malls, or buildings. Over several years, significant advancements have been made in indoor navigation. Numerous studies have been conducted on the issue. However, a fair evaluation and comparison of indoor navigation algorithms have not been discussed further. This paper presents a comprehensive review of collective algorithms developed for indoor navigation. The in-depth analysis of these articles concentrates on both advantages and disadvantages, as well as the different types of algorithms used in each article. A systematic literature review (SLR) methodology guided our article-finding, vetting, and grading processes. Finally, we narrowed the pool down to 75 articles using SLR. We organized them into several groups according to their topics. In these quick analyses, we pull out the most important concepts, article types, rating criteria, and the positives and negatives of each piece. Based on the findings of this review, we can conclude that an efficient solution for indoor navigation that uses the capabilities of embedded data and technological advances in immersive technologies can be achieved by training the shortest path algorithm with a deep learning algorithm to enhance the indoor navigation system. Pertanika 2024 Article PeerReviewed text en http://eprints.uthm.edu.my/12381/1/J17837_aa5ce6c7362588fdccb187b55b22efd2.pdf Sariman, Muhammad Shazmin and Othman, Maisara and Mat Akir, Rohaida and Mahamad, Abd Kadir and Ab Rahman, Munirah (2024) A Review: Current Trend of Immersive Technologies for Indoor Navigation and the Algorithms. Science & Technology, 32 (2). 955 -977. ISSN 0128-7680 https://doi.org/10.47836/pjst.32.2.25 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Sariman, Muhammad Shazmin Othman, Maisara Mat Akir, Rohaida Mahamad, Abd Kadir Ab Rahman, Munirah A Review: Current Trend of Immersive Technologies for Indoor Navigation and the Algorithms |
| title | A Review: Current Trend of Immersive Technologies for Indoor
Navigation and the Algorithms |
| title_full | A Review: Current Trend of Immersive Technologies for Indoor
Navigation and the Algorithms |
| title_fullStr | A Review: Current Trend of Immersive Technologies for Indoor
Navigation and the Algorithms |
| title_full_unstemmed | A Review: Current Trend of Immersive Technologies for Indoor
Navigation and the Algorithms |
| title_short | A Review: Current Trend of Immersive Technologies for Indoor
Navigation and the Algorithms |
| title_sort | review: current trend of immersive technologies for indoor
navigation and the algorithms |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.uthm.edu.my/12381/1/J17837_aa5ce6c7362588fdccb187b55b22efd2.pdf http://eprints.uthm.edu.my/12381/ https://doi.org/10.47836/pjst.32.2.25 |
| url_provider | http://eprints.uthm.edu.my/ |