Extracting valuable information from a simultaneous visualisation of science and engineering data obtained with an Autonomous Underwater Vehicle

The aim of this study was to create a software solution for the visualization of scientific and engineering data from an Autonomous Underwater Vehicle (AUV) to improve analysis of performed missions. A media player style interface was created to playback and interpret AUV mission data in an interactive format while retaining a familiar and user friendly interface for researchers. This allows faster analysis and quick cross-parameter referencing without the need for hardware intensive 3D representations. This tool allows observations and inferences to be made very quickly that might otherwise be difficult to find as a consequence of the volume of the data being analyzed. This software can be applied to any time series data available in CSV format and to other autonomous machines. Being implemented in python, this tool can be used on Windows, Mac or Linux machines making it available to a wider user base.