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    Home»Thought Leadership in AI»Making airfield assessments automated, distant, and protected | MIT Information
    Thought Leadership in AI

    Making airfield assessments automated, distant, and protected | MIT Information

    Yasmin BhattiBy Yasmin BhattiApril 21, 2025No Comments6 Mins Read
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    Making airfield assessments automated, distant, and protected | MIT Information
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    In 2022, Randall Pietersen, a civil engineer within the U.S. Air Power, set out on a coaching mission to evaluate injury at an airfield runway, working towards “base restoration” protocol after a simulated assault. For hours, his workforce walked over the world in chemical safety gear, radioing in geocoordinates as they documented injury and seemed for threats like unexploded munitions.

    The work is customary for all Air Power engineers earlier than they deploy, however it held particular significance for Pietersen, who has spent the final 5 years growing sooner, safer approaches for assessing airfields as a grasp’s scholar and now a PhD candidate and MathWorks Fellow at MIT. For Pietersen, the time-intensive, painstaking, and doubtlessly harmful work underscored the potential for his analysis to allow distant airfield assessments.

    “That have was actually eye-opening,” Pietersen says. “We’ve been informed for nearly a decade {that a} new, drone-based system is within the works, however it’s nonetheless restricted by an lack of ability to establish unexploded ordnances; from the air, they give the impression of being an excessive amount of like rocks or particles. Even ultra-high-resolution cameras simply don’t carry out nicely sufficient. Fast and distant airfield evaluation is just not the usual observe but. We’re nonetheless solely ready to do that on foot, and that’s the place my analysis is available in.”

    Pietersen’s purpose is to create drone-based automated techniques for assessing airfield injury and detecting unexploded munitions. This has taken him down a variety of analysis paths, from deep studying to small uncrewed aerial techniques to “hyperspectral” imaging, which captures passive electromagnetic radiation throughout a broad spectrum of wavelengths. Hyperspectral imaging is getting cheaper, sooner, and extra sturdy, which might make Pietersen’s analysis more and more helpful in a spread of purposes together with agriculture, emergency response, mining, and constructing assessments.

    Discovering laptop science and group

    Rising up in a suburb of Sacramento, California, Pietersen gravitated towards math and physics in class. However he was additionally a cross nation athlete and an Eagle Scout, and he wished a strategy to put his pursuits collectively.

    “I preferred the multifaceted problem the Air Power Academy offered,” Pietersen says. “My household doesn’t have a historical past of serving, however the recruiters talked in regards to the holistic schooling, the place teachers have been one half, however so was athletic health and management. That well-rounded strategy to the school expertise appealed to me.”

    Pietersen majored in civil engineering as an undergrad on the Air Power Academy, the place he first started studying the way to conduct tutorial analysis. This required him to be taught somewhat little bit of laptop programming.

    “In my senior 12 months, the Air Power analysis labs had some pavement-related tasks that fell into my scope as a civil engineer,” Pietersen remembers. “Whereas my area information helped outline the preliminary issues, it was very clear that growing the suitable options would require a deeper understanding of laptop imaginative and prescient and distant sensing.”

    The tasks, which handled airfield pavement assessments and menace detection, additionally led Pietersen to begin utilizing hyperspectral imaging and machine studying, which he constructed on when he got here to MIT to pursue his grasp’s and PhD in 2020.

    “MIT was a transparent selection for my analysis as a result of the varsity has such a robust historical past of analysis partnerships and multidisciplinary pondering that helps you resolve these unconventional issues,” Pietersen says. “There’s no higher place on this planet than MIT for cutting-edge work like this.”

    By the point Pietersen received to MIT, he’d additionally embraced excessive sports activities like ultra-marathons, skydiving, and mountain climbing. A few of that stemmed from his participation in infantry expertise competitions as an undergrad. The multiday competitions are military-focused races by which groups from world wide traverse mountains and carry out graded actions like tactical fight casualty care, orienteering, and marksmanship.

    “The gang I ran with in school was actually into that stuff, so it was kind of a pure consequence of relationship-building,” Pietersen says. “These occasions would run you round for 48 or 72 hours, typically with some sleep combined in, and also you get to compete together with your buddies and have a superb time.”

    Since coming to MIT together with his spouse and two youngsters, Pietersen has embraced the native operating group and even labored as an indoor skydiving teacher in New Hampshire, although he admits the East Coast winters have been robust for him and his household to regulate to.

    Pietersen went distant between 2022 to 2024, however he wasn’t doing his analysis from the consolation of a house workplace. The coaching that confirmed him the fact of airfield assessments happened in Florida, after which he was deployed to Saudi Arabia. He occurred to jot down one in every of his PhD journal publications from a tent within the desert.

    Now again at MIT and nearing the completion of his doctorate this spring, Pietersen is grateful for all of the individuals who have supported him in all through his journey.

    “It has been enjoyable exploring all kinds of various engineering disciplines, attempting to determine issues out with the assistance of all of the mentors at MIT and the sources accessible to work on these actually area of interest issues,” Pietersen says.

    Analysis with a objective

    In the summertime of 2020, Pietersen did an internship with the HALO Belief, a humanitarian group working to clear landmines and different explosives from areas impacted by conflict. The expertise demonstrated one other highly effective utility for his work at MIT.

    “We have now post-conflict areas world wide the place youngsters are attempting to play and there are landmines and unexploded ordnances of their backyards,” Pietersen says. “Ukraine is an efficient instance of this within the information at present. There are at all times remnants of conflict left behind. Proper now, folks have to enter these doubtlessly harmful areas and clear them, however new remote-sensing strategies might velocity that course of up and make it far safer.”

    Though Pietersen’s grasp’s work primarily revolved round assessing regular put on and tear of pavement buildings, his PhD has centered on methods to detect unexploded ordnances and extra extreme injury.

    “If the runway is attacked, there can be bombs and craters throughout it,” Pietersen says. “This makes for a difficult surroundings to evaluate. Several types of sensors extract completely different sorts of knowledge and every has its professionals and cons. There may be nonetheless a variety of work to be achieved on each the {hardware} and software program facet of issues, however up to now, hyperspectral information seems to be a promising discriminator for deep studying object detectors.”

    After commencement, Pietersen will likely be stationed in Guam, the place Air Power engineers often carry out the identical airfield evaluation simulations he participated in in Florida. He hopes sometime quickly, these assessments will likely be achieved not by people in protecting gear, however by drones.

    “Proper now, we depend on seen traces of website,” Pietersen says. “If we are able to transfer to spectral imaging and deep-learning options, we are able to lastly conduct distant assessments that make everybody safer.”

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