Otonoma
Distributed AI and Maritime Traffic
This project developed a distributed system for real-time tracking and prediction of trans-oceanic vessels using clipper race telemetry and AIS data. Built on the Paranet framework, this system enables dynamic communication across distributed nodes, including data ingestion, vessel nodes, and a marine overview interface. Beyond tracking, the team explored transformer-based models for trajectory prediction and investigated the integration of environmental factors such as wind and ocean currents. This work highlights both the challenges of limited maritime data and the potential for intelligent, predictive marine systems.
Students
Faculty Adviser(s)
Dinuka Sahabandu, Electrical & Computer Engineering
Related News
Mon, 10/13/2025 | UW Mechanical Engineering
Capstone collaboration leads to award
An ME capstone team received first place for its energy audit of the UW School of Social Work building.
Mon, 07/07/2025 | UW Mechanical Engineering
Capstone creations
Students displayed innovative capstone design projects at the 2025 expo.
Fri, 09/20/2024 | UW Civil & Environmental Engineering
Smarter irrigation for a greener UW
A new project combines satellite data with ground sensors to conserve water and create a more sustainable campus environment.
Mon, 09/09/2024 | UW Mechanical Engineering
Testing an in-home mobility system
Through innovative capstone projects, engineering students worked with community members on an adaptable mobility system.