Sachini/Fusion-DHL
Fusion-DHL: WiFi, IMU, and Floorplan Fusion for Dense History of Locations in Indoor Environments
This project helps operations managers or facility owners accurately track and visualize the precise movement of people or assets within complex indoor spaces like shopping malls or large buildings. By combining data from mobile device sensors (like Wi-Fi and motion), along with a digital floorplan, it generates a detailed history of locations. The output is a clear, continuous path plotted directly onto your floorplan.
119 stars. No commits in the last 6 months.
Use this if you need to understand exact movement patterns and historical locations of people or objects inside a building where GPS signals are unreliable.
Not ideal if you only need outdoor location tracking or if you require real-time positioning with extremely low latency for immediate navigation.
Stars
119
Forks
25
Language
Python
License
GPL-3.0
Category
Last pushed
May 20, 2021
Commits (30d)
0
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