What is it about?
Indoor object localization technique. In a warehouse is very expensive locate a object or a set of objects. You can not use a GPS (not work in indoor environments). The market solutions are based in signal processing and need an expensive hardware infraestructure. Our solution is based on visual techniques combined with machine learning techniques, producing a less expensive and more accurate solution for indoor object localization in warehouses.
Why is it important?
Combine visual techniques with machine learning techniques, producing a less expensive and more accurate solution for indoor object localization in warehouses, allowing to reduce the time spent to find objects in warehouses. Also, the proposed solution save computer processing, savng energy consumption.
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This page is a summary of: A machine learning based system for multi-sensor 3D localization of stationary objects , IET Cyber-Physical Systems Theory & Applications, January 2018, the Institution of Engineering and Technology (the IET), DOI: 10.1049/iet-cps.2017.0067.
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