When Wireless Localization Meets Artificial Intelligence: Basics, Challenges, Synergies, and Prospects
Source abstract
Abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Indoor and Outdoor Localization Technologies · Underwater Vehicles and Communication Systems · UAV Applications and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electro-Mechanical Engineering, Korea University, Sejong-si 30019, Republic of Korea
School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, 11428 Stockholm, Sweden
Department of Control and Instrumentation Engineering, Korea University, Sejong-si 30019, Republic of Korea
Funding
Regional Innovation Strategy (RIS) · NRF funded by the Ministry of Education (MOE) · the Korean government (MSIT)
References (53)
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