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AI and Machine Learning for Automated Emergency UAS Landings

By Mike Ball / 11 Sep 2020

BST SwiftSTL classification technology

Black Swift Technologies (BST) has released a whitepaper detailing the development of the company’s SwiftSTL (Safe To Land) technology for unmanned aerial systems (UAS), which uses state-of-the-art machine learning and artificial intelligence techniques to autonomously identify a safe landing zone in the event of a major aircraft systems failure.

Read the full whitepaper on BST’s website

BST’s solution has been developed under a NASA SBIR grant and is currently being tested for commercial release. It processes high-resolution images quickly and efficiently onboard the UAS to enable the identification of objects and terrain that must be avoided during a safe emergency landing. The technology uses a machine vision technique known as semantic segmentation, which allows objects to be classified at the pixel level by assigning each pixel to a class label. Humans, animals, vehicles, structures and other objects can be designated as items to be avoided at all costs.

SwiftSTL gives the UAS a perception of the world around it by processing large amounts of data quickly and efficiently in order to make critical decisions in real-time. As well as safe landings, this classification technology can be adapted to a range of other applications, such as asset management, firefighting and wildlife management. It can also potentially be deployed on underwater ROVs (remotely operated vehicles) to perform tasks such as pipeline inspection.

To find out more, download the full whitepaper from BST’s website.

To learn more, contact Black Swift Technologies: Visit Website Send Message View Supplier Profile
Posted by Mike Ball Mike Ball is our resident technical editor here at Unmanned Systems Technology. Combining his passion for teaching, advanced engineering and all things unmanned, Mike keeps a watchful eye over everything related to the unmanned technical sector. With over 10 years’ experience in the unmanned field and a degree in engineering, Mike’s been heading up our technical team here for the last 8 years. Connect & Contact