Railroad Artificial Intelligence Intruder Learning System (RAIILS)
This report summarizes the research conducted as part of Phase 2 of the Railroad Artificial Intelligence Intruder Learning System (RAIILS), led by a team of researchers at Michigan Technological University (Michigan Tech) and sponsored by the Federal Railroad Administration (FRA) from March 2019 to September 2021. The project had two primary objectives: (1) to help FRA understand how Artificial Intelligence (AI) models could be applied to railroad trespass detection, and (2) to assist North American railroads in developing machine learning capabilities to detect railroad trespassers in real time. The Phase 1 report served primarily as a literature review and focused on addressing the first of these goals.