A high-accuracy, scalable and affordable indoor positioning system using visible light positioning for automated guided vehicles

Indoor Positioning Systems (IPSs) have multiple applications. For example, they can be used to guide people, to locate items in a warehouse and to support the navigation of Automated Guided Vehicles (AGV). Currently most AGVs use local pre-defined navigation systems, but they lack a global localisat...

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Detalles Bibliográficos
Autores: Boixader Coma, Aleix, Labella, Carlos, Catalán, Marisa, Paradells Aspas, Josep|||0000-0003-4185-2202
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/400925
Acceso en línea:https://hdl.handle.net/2117/400925
https://dx.doi.org/10.3390/electronics13010082
Access Level:acceso abierto
Palabra clave:Automotive computers
Indoor positioning
Visible light positioning
Visible light communication
Real-time
Deployment focused
Perspective-n-point
Embedded computing
Low-cost
High accuracy
Image sensor visible light identification
Ordinadors de bord
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
Descripción
Sumario:Indoor Positioning Systems (IPSs) have multiple applications. For example, they can be used to guide people, to locate items in a warehouse and to support the navigation of Automated Guided Vehicles (AGV). Currently most AGVs use local pre-defined navigation systems, but they lack a global localisation system. Integrating both systems is uncommon due to the inherent challenge in balancing accuracy with coverage. Visible Light Position (VLP) offers accurate and fast localisation, but it encounters scalability limitations. To overcome this, this paper presents a novel Image Sensor-based VLP (IS-VLP) identification method that harnesses existing Light Emitting Diode (LED) lighting infrastructure to substitute both navigation and localisation systems effectively in the whole area. We developed an IPS that achieves six-axis positioning at 90 Hz refresh rate using OpenCV’s solvePnP algorithm and embedded computing. This IPS has been validated in a laboratory environment and successfully deployed in a real factory to position an operative AGV. The system has resulted in accuracies better than 12 cm for 95% of the measurements. This work advances towards positioning VLP as an appealing choice for IPS in industrial environments, offering an inexpensive, scalable, accurate and robust solution.