ansfl/BeamsNet
Data-driven approach for AUV navigation
This project helps improve the accuracy of autonomous underwater vehicle (AUV) navigation. It takes raw data from a Doppler Velocity Log (DVL) and, optionally, inertial sensors to produce a more precise velocity vector for the AUV. AUV operators, marine robotics engineers, or oceanographers using AUVs for seafloor mapping or underwater inspections would find this useful.
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Use this if you need to enhance the accuracy of your AUV's navigation by getting more precise velocity estimates from its DVL.
Not ideal if you are working with terrestrial or aerial vehicles, or if your AUV does not use a Doppler Velocity Log (DVL) for navigation.
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Language
Python
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Last pushed
Jul 24, 2022
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