[06/27/2023] Integrated the real time anomaly detection algorithm. More details in this paper.
[11/01/2023] Published in IEEE OCEANS 2023 Gulf Coast. More details in this paper.
GENIoS_Python is a real-time autonomous glider navigation software developed by GTSR Lab of Georgia Tech. It can generate waypoints (goto file) in real time based on flow prediction to better navigate gliders in the highly variable ocean flow field.
Autonomous glider navigation with less human labor
Continuously checking glider status (header) every ten seconds
Customizable settings of gliders and deployments (Slocum G1, G2, G3 types)
Lightweight requirements of computing resources (no GPU, laptop compatible)
Stable communication with dockservers
Robust operation of running for up to one month
Quantitative comparison of glider-estimated flow, model-predicted flow and geniospython-predicted flow
The prototype of GENIoS_Python is GCCS (Glider Coordinated Control System), which could generate waypoints for a fleet of gliders so that gliders can sample optimally distributed measurements, improving collective survey performance. The navigation performance of GCCS was verified through the Adaptive Sampling and Prediction (ASAP) project in Monterey Bay, California (2004 - 2006). Furthermore, we extended GCCS into GENIoS (Glider-Environment Network Information System) by incorporating real-time ocean flow data and glider surfacing data. GENIoS supported the Long Bay mission in South Carolina (2012 - 2013) and increased navigation accuracy under the strong tidal and Gulf Stream currents. Building off the success of GENIoS, we modernized the codebase and here comes the newest software - GENIoS_Python.
GENIoS_Python and its predecessors supported multiple glider missions in collaboration with Dr Naomi Leonard in Princeton University, Dr Catherine Edwards in University of Georgia and Chad Lembke in University of South Florida: Monterey Bay 2004 - 2006, Georgia 2011, Long Bay 2012 - 2013, Gliderpalooza 2013, Gray's Reef 2014, Georgia 2017, Gray's Reef 2018, Gray's Reef 2023.