Abstract:
Indoor navigation is a foundational technology to assist the tracking and localization of humans, autonomous vehicles, drones, and robots in indoor spaces. Due to the lac...Show MoreMetadata
Abstract:
Indoor navigation is a foundational technology to assist the tracking and localization of humans, autonomous vehicles, drones, and robots in indoor spaces. Due to the lack of penetration of GPS signals in buildings, subterranean locales, and dense urban environments, indoor navigation solutions typically make use of ubiquitous wireless signals (e.g., WiFi) and sensors in mobile embedded systems to perform tracking and localization. This article provides an overview of the many challenges facing state-of-the-art indoor navigation solutions, and then describes how AI algorithms deployed on mobile embedded systems can overcome these challenges.
Published in: 2024 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)
Date of Conference: 29 September 2024 - 04 October 2024
Date Added to IEEE Xplore: 06 November 2024
ISBN Information: