Skip to content

This repository is a Seattle Aquarium project, aiming to create a Kalman filter which ingests DVL and USBL data to generate a more accurate prediction of the location of the ROV.

Notifications You must be signed in to change notification settings

SH0G0TH/CCR-Location-Filtering

Repository files navigation

CCR-Location-Filtering

This repository is a Seattle Aquarium project, aiming to create a Kalman filter which ingests DVL and USBL data to generate a more accurate prediction of the location of the ROV.

USE:

When in the CRR-Location-Filtering directory, run main.py.

To specify a different GPS log to read from, use --GPS. ex.

main.py --GPS otherDive.csv

The default is set to use the provided log from the one pager.

To specify output csv file for filtered results, use --log. ex.

main.py --log output

The default is set to display both the measured GPS position and the filter output in a matplotlib window.

About

This repository is a Seattle Aquarium project, aiming to create a Kalman filter which ingests DVL and USBL data to generate a more accurate prediction of the location of the ROV.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages