A Data Driven Framework for an Enhanced Indoor Localisation and Positioning Precision
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Technology Overview
This technology introduces a Wi-Fi Positioning System (WPS) that leverages data-driven techniques to enable accurate indoor localization using Wi-Fi signals. It addresses the challenges of GPS unreliability in indoor environments, providing a robust framework for improving localization precision.
CATEGORY
TECHNOLOGY READINESS LEVEL (TRL)
Wi-Fi Indoor Positioning Technology
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Infrastructure-Free Indoor Positioning:
Utilises low-frequency magnetic fields from existing powerlines, no need for Wi-Fi beacons, GPS repeaters, or additional hardware infrastructure
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AI-Powered Data Augmentation (extendGAN+):
Create high-quality synthetic data and reduces dependence on extensive on-site data collection
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Flexible Dual-Model Framework:
Users can choose between Grid-based model or CNN model with residual network, this flexibility allows optimisation based on accuracy, speed, or deployment constraints.
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Faster Deployment & Lower Cost:
Minimises labour-intensive fingerprint data collection, can be adapted seamlessly to different buildings and layouts
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Deployment-Ready & Validated:
Implemented in the SingTourX app, proven in operational test environments
Maritime Use Cases

The indoor positioning and localization system could be used to track the movement and location of personnel, autonomous vehicles, or mobile assets within the complex indoor environments of ships, offshore platforms, or port facilities.

The data-driven framework could enable the development of advanced navigation and guidance systems for autonomous maritime vehicles operating in confined spaces, such as within ship interiors or cargo holds.

The technology could also support more efficient asset management and workflow optimization in maritime facilities, by providing real-time visibility into the location and utilization of resources.
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