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AI-Driven Indoor Navigation with Mobile Embedded Systems | IEEE Conference Publication | IEEE Xplore

AI-Driven Indoor Navigation with Mobile Embedded Systems


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 More

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.
Date of Conference: 29 September 2024 - 04 October 2024
Date Added to IEEE Xplore: 06 November 2024
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Conference Location: Raleigh, NC, USA

References

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