Plume Localization Using Machine-learning for Environmental Sensing (PLUMES)
The DTRA is looking for a cutting-edge AI solution to autonomously detect, track, and navigate drones through airborne plumes from explosive tests using onboard and ground systems like LIDAR and radar. The goal is to improve data collection and potentially apply these advancements to other use cases requiring plume tracking. The solution must be adaptable to different platforms and sensors, le…
DTRA seeks an innovative AI-driven solution for detecting, tracking, and guiding an unmanned aerial system (UAS) through airborne plumes generated during explosive tests. The system should integrate data from onboard systems and ground systems to include LIDAR and radar to autonomously identify …
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