Glider Prediction Particle Filter - in progress
At the Autonomous Systems Bootcamp at the University of Delaware in August 2024, I participated in a project to develop a tool that uses a particle filter to predict, based on ocean currents, where an autonomous glider is likely to surface.
Our team used a kinematic model of a Teledyne Slocum glider and a particle filter to predict the most likely locations for the glider to surface after a two hour interval. My focus was on writing Python code to fetch the glider data from the RUCOOL server and the ocean current data from the Rutgers THREDDS server using the Doppio model, and developing a GUI using the Python FastAPI framework and Javascript.
This project is still in progress. The most recent version can be found here: https://github.com/ArianeChriss/fastapi-glider
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