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Secretary of the Air Force Frank Kendall presents his reading list providing suggested works intended to enhance knowledge of China’s history, culture, society, strategy, and military modernization program – and their implications for the Air Force and Space Force.
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    • By NASA
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      2023 Entrepreneurs Challenge Winner Skyline Nav AI: Revolutionizing GPS-Independent Navigation with Computer Vision
      NASA sponsored Entrepreneurs Challenge events in 2020, 2021, and 2023 to identify innovative ideas and technologies from small business start-ups with the potential to advance the agency’s science goals. To help leverage external funding sources for the development of innovative technologies of interest to NASA, SMD involved the venture capital community in Entrepreneurs Challenge events. Challenge winners were awarded prize money, and in 2023 the total Entrepreneurs Challenge prize value was $1M. Numerous challenge winners have subsequently received funding from both NASA and external sources (e.g., other government agencies or the venture capital community) to further develop their technologies.
      Skyline Nav AI, a winner of the 2023 NASA Entrepreneurs Challenge, is pioneering GPS-independent navigation by leveraging cutting-edge computer vision models, artificial intelligence (AI), and edge computing.
      Skyline Nav AI’s flagship technology offers precise, real-time geolocation without the need for GPS, Wi-Fi, or cellular networks. The system utilizes machine learning algorithms to analyze terrain and skyline features and match them with preloaded reference datasets, providing up to centimeter-level accuracy in GPS-denied environments. This capability could enable operations in areas where GPS signals are absent, blocked, degraded, spoofed, or jammed, including urban canyons, mountainous regions, and the Moon.
      Skyline Nav AI’s flagship technology at work in New York to provide precise location by matching the detected skyline with a reference data set. The red line shows detection by Skyline Nav AI technology, the green line marks the true location in the reference satellite dataset, and the orange line represents the matched location (i.e., the location extracted from the satellite dataset using Skyline Nav AI algorithms). Skyline Nav’s visual navigation technology can deliver accuracy up to five meters, 95% of the time. The AI-powered visual positioning models continuously improve geolocation precision through pixel-level analysis and semantic segmentation of real-time images, offering high reliability without the need for GPS.
      In addition to its visual-based AI, Skyline Nav AI’s software is optimized for edge computing, ensuring that all processing occurs locally on the user’s device. This design enables low-latency, real-time decision-making without constant satellite or cloud-based connectivity, making it ideal for disconnected environments such as combat zones or space missions.
      Furthermore, Skyline Nav AI’s technology can be integrated with various sensors, including inertial measurement units (IMUs), lidar, and radar, to further enhance positioning accuracy. The combination of visual navigation and sensor fusion can enable centimeter-level accuracy, making the technology potentially useful for autonomous vehicles, drones, and robotics operating in environments where GPS is unreliable.
      “Skyline Nav AI aims to provide the world with an accurate, resilient alternative to GPS,” says Kanwar Singh, CEO of Skyline Nav AI. “Our technology empowers users to navigate confidently in even the most challenging environments, and our recent recognition by NASA and other partners demonstrates the value of our innovative approach to autonomous navigation.”
      Skyline Nav AI continues to expand its influence through partnerships with organizations such as NASA, the U.S. Department of Defense, and the commercial market. Recent collaborations include projects with MIT, Draper Labs, and AFRL (Air Force Research Laboratory), as well as winning the MOVE America 2024 Pitch competition and being a finalist in SXSW 2024.
      Sponsoring Organization: The NASA Science Mission Directorate sponsored the Entrepreneurs Challenge events.
      Project Leads: Kanwar Singh, Founder & CEO of Skyline Nav AI
      Share








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      Last Updated Jan 07, 2025 Related Terms
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      Regolith Adherence Characterization, or RAC, is one of 10 science and technology instruments flying on NASA’s next Commercial Lunar Payload Services (CLPS) flight as part of the Blue Ghost Misison-1. Developed by Aegis Aerospace of Webster, Texas, RAC is designed to study how lunar dust reacts to more than a dozen different types of material samples, located on the payload’s wheels. Photo courtesy Firefly Aerospace The Moon may look like barren rock, but it’s actually covered in a layer of gravel, pebbles, and dust collectively known as “lunar regolith.” During the Apollo Moon missions, astronauts learned firsthand that the fine, powdery dust – electromagnetically charged due to constant bombardment by solar and cosmic particles – is extremely abrasive and clings to everything: gloves, boots, vehicles, and mechanical equipment. What challenges does that dust pose to future Artemis-era missions to establish long-term outposts on the lunar surface?
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      “Lunar regolith is a sticky challenge for long-duration expeditions to the surface,” said Dennis Harris, who manages the RAC payload for NASA’s CLPS initiative at the agency’s Marshall Space Flight Center in Huntsville, Alabama. “Dust gets into gears, sticks to spacesuits, and can block optical properties. RAC will help determine the best materials and fabrics with which to build, delivering more robust, durable hardware, products, and equipment.”
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      Learn more about. CLPS and Artemis at:
      https://www.nasa.gov/clps
      Alise Fisher
      Headquarters, Washington
      202-358-2546
      Alise.m.fisher@nasa.gov
      Headquarters, Washington
      202-358-2546
      Alise.m.fisher@nasa.gov
      Corinne Beckinger 
      Marshall Space Flight Center, Huntsville, Ala. 
      256-544-0034  
      corinne.m.beckinger@nasa.gov 
      Share
      Details
      Last Updated Dec 20, 2024 EditorBeth RidgewayContactCorinne M. Beckingercorinne.m.beckinger@nasa.govLocationMarshall Space Flight Center Related Terms
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