We here illustrate a new indoor navigation system, which is independent from power sources, and it can work also in the dark. The system includes two key components, namely positioning and path planning. Positioning is based on geomagnetic elds, and it overcomes the several limits of indoor systems based on WIFI and Bluetooth, etc. Path planning is based on a new and optimized Ant Colony algorithm, called Ant Colony Optimization (ACO), which oers better performances than the classic A* algorithms. The paper illustrates the logic and the architecture of the system,and also presents experimental results.
Multi-floor indoor navigation with geomagnetic field positioning and ant colony optimization algorithm
LIU, KAIXU;MOTTA, GIANMARIO PIERO ANTONIO;MA, TIANYI;
2016-01-01
Abstract
We here illustrate a new indoor navigation system, which is independent from power sources, and it can work also in the dark. The system includes two key components, namely positioning and path planning. Positioning is based on geomagnetic elds, and it overcomes the several limits of indoor systems based on WIFI and Bluetooth, etc. Path planning is based on a new and optimized Ant Colony algorithm, called Ant Colony Optimization (ACO), which oers better performances than the classic A* algorithms. The paper illustrates the logic and the architecture of the system,and also presents experimental results.File in questo prodotto:
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