Sökning: id:"swepub:oai:DiVA.org:kth-341560" >
When Wireless Local...
When Wireless Localization Meets Artificial Intelligence : Basics, Challenges, Synergies, and Prospects
-
- Cha, Kyeong-Ju (författare)
- Korea Univ, Dept Electromech Engn, Sejong Si 30019, South Korea.
-
- Lee, Jung-Bum (författare)
- Korea Univ, Dept Electromech Engn, Sejong Si 30019, South Korea.
-
- Özger, Mustafa (författare)
- KTH,Kommunikationssystem, CoS
-
visa fler...
-
- Lee, Woong-Hee (författare)
- Korea Univ, Dept Control & Instrumentat Engn, Sejong Si 30019, South Korea.
-
visa färre...
-
Korea Univ, Dept Electromech Engn, Sejong Si 30019, South Korea Kommunikationssystem, CoS (creator_code:org_t)
- MDPI AG, 2023
- 2023
- Engelska.
-
Ingår i: Applied Sciences. - : MDPI AG. - 2076-3417. ; 13:23
- Relaterad länk:
-
https://doi.org/10.3...
-
visa fler...
-
https://urn.kb.se/re...
-
https://doi.org/10.3...
-
visa färre...
Abstract
Ämnesord
Stäng
- The rapid development of information communication and artificial intelligence (AI) technology is driving innovation in various new application fields such as autonomous driving, augmented reality, and the metaverse. In particular, the advancement of wireless localization technology plays a great role in these cutting-edge technologies. However, traditional wireless localization systems rely on the global navigation satellite system (GNSS), which is ineffective in indoor or underground environments. To overcome this issue, indoor positioning systems (IPS) have gained attention, and various localization techniques utilizing wireless communication were studied. Subsequently, AI technologies are improving the performance of wireless localization and addressing problems that were previously difficult to solve. In this paper, we summarize wireless localization techniques and define the factors that impede their performance. Furthermore, we categorize AI algorithms and present examples of how they can be used to address these hindering factors. Finally, we propose open research directions and prospects for AI-assisted wireless localization.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Engineering (hsv//eng)
Nyckelord
- wireless communication
- wireless localization
- artificial intelligence
Publikations- och innehållstyp
- ref (ämneskategori)
- for (ämneskategori)
Hitta via bibliotek
Till lärosätets databas