
Autonomous drones that find and ride thermals using computer vision
pitch_v1_importAt American Tenet, we build on advanced technology from the Naval Research Laboratory's ALOFT program, which developed a method to enable unmanned aircraft to soar using natural atmospheric thermal energy. However, the platform couldn't locate thermals and relied on chance encounters. Our technology advancement equips autonomous, fixed-wing, unmanned aircraft with advanced sensors and a specialized computer vision (CV) model that works like a pair of "glasses" to detect and track wind patterns by mimicking the techniques of birds and glider pilots to "see the wind." Our aircraft enables thermal, ridge, and dynamic soaring operations up to 90,000 feet above ground level, nearing the edge of space. We use topographic maps to predict wind movements over terrain, LiDAR to analyze the ground composition, electro-optical cameras to assess cloud layer altitude and classification, and medium-wave infrared sensors to track bird flights. By combining all this data with thermal sensors and real-time weather information, our CV model enables drones to stay airborne longer.
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Today's commercial and defense unmanned aerial systems (UAS, a.k.a. drones) are limited in range and flight duration due to fuel requirements and battery capacity. These limits impede autonomous capabilities beyond visual-line-of-sight (BVLOS) operations for commercial, government-civil, and government-defense use cases.
We have made significant strides in our technology, proving our capability to "see the wind" using advanced sensors and computer vision. We are on track to demonstrate this technology by the autumn of 2025. Additionally, we have established partnerships with prominent academic institutions, including Texas A&M, to further our research and development efforts. Moreover, we have secured a collaboration with Booz Allen Hamilton through the Department of Interior's recreation.gov contract. This partnership allows us to use our drones for surveillance across federal parks and forest lands, showcasing the practical applications of our technology in real-world scenarios.