Radar-based Indoor Navigation System for Visually Impaired

Akaydin, A., Onireti, O. , Ahmad, W. and Le Kernec, J. (2023) Radar-based Indoor Navigation System for Visually Impaired. In: International Conference on Radar Systems (RADAR 2022), Edinburgh, UK, 24 - 27 October 2022, ISBN 9781839537776 (doi: 10.1049/icp.2022.2355)

Abstract

The absence of the Global Positioning System (GPS) inside buildings makes indoor navigation more difficult compared to outdoor environments. This paper provides a summary of visually impaired indoor navigation technologies to identify the needs of the visually impaired to safely navigate indoors. Radar as a sensor is preferred because it works in conditions where other systems cannot work properly and has unique features. In particular, this paper reviews different radar SLAM and ego-motion estimation approaches that can aid indoor navigation. This paper concludes with a brief insight into the future direction for a novel radar-based wearable indoor navigation system.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Onireti, Oluwakayode and Ahmad, Dr Wasim and Akaydin, Abdullah and Le Kernec, Dr Julien
• Authors: Akaydin, A., Onireti, O., Ahmad, W., and Le Kernec, J.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• ISBN: 9781839537776
• Copyright Holders: Copyright © The Institution of Engineering and Technology 2023
• First Published: First published in International Conference on Radar Systems (RADAR 2022)
• Publisher Policy: Reproduced in accordance with the publisher copyright policy

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