ExLF is an US Army initiative to create convoys that only required one driver. The lead vehicle in a convoy would have a live driver, while the following vehicles would be driven autonomously. In order to properly analyze the GPS data generated on test tracks, a more efficient data dashboard was required. This was put together by multiple intern teams at the Computer and Information Sciences Directorate (CISD). My two-person team was assigned parsing GPS data to find which data set matched up with the given geo-scanned test track, then creating a visual simulation of said data in Unity. The idea is that this tool would provide a simple visual check for what a given truck was doing, and would integrate into the larger data dashboard.

Unfortunately, due to the nature of the project I was not able to keep much documentation on the work I performed. During the internship I was responsible for parsing and cleaning a very large data set, easily over 180,000 data points, each with their own date, GPS coordinates, truck identifiers, etc. Additionally I needed to make sure the tool accurately represented this data output in accordance with the given geo-scan. The final tool had a fixed camera over the track, with multiple scrub speeds and optimizations for lower or higher-end computers.

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I am primary author for the above paper in the ITEA Journal for August 2021, and this paper was also presented separately at the 38th ITEA Symposium. Links to both are provided above, with the journal article on page 68 of the PDF.