| Abstract | NRC’s Flight Research Laboratory has been conducting NMAC intercepts to investigate techniques and technologies to address the unmanned aircraft Detect and Avoid problem since 2008. As part of these investigations, NRC possess a library of video imagery from seven calibrated machine vision cameras mounted on the surrogate unmanned aircraft, as well as the truth data regarding position information as recorded by the high-quality inertial measurement systems on-board both the ownship and the intruder aircraft. This data was collected from 2016-2019 with a Bell 205 helicopter acting as a surrogate unmanned aircraft and flying intercepts against multiple fixed-wing intruders (Harvard/Texan, Extra 300, DeHaviland Twin Otter). This dataset contains the NRC NMAC imagery database, including: the camera specifications, extrinsic/intrinsic camera parameters, and camera installations on the surrogate unmanned aircraft. |
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