VesselVision: Fleet Safety Awareness over Streaming Vessel Trajectories

(Fig. left) Visualization of high-risk (in terms of CRI) areas of interest

(Fig. right) Visualization of encountering vessels with their corresponding CRI

Video Presentation:

Contributors: Andreas Tritsarolis, Nikos Pelekis and Yannis Theodoridis

Data Science Laboratory, University of Piraeus

Related Papers: VesselVision – Fleet Safety Awareness over Streaming Vessel Trajectories (Demo Paper). In proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2023). [demo poster]

Code Repository: https://github.com/DataStories-UniPi/VesselVision

Contact: Andreas Tritsarolis <andrewt@unipi.gr>