Browse Topic: Satellites

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Rotorcraft continue to experience higher fatal accident rates compared to fixed-wing aircraft, primarily due to low altitude flight operations and reduced situational awareness in complex environments. A critical factor is the limited availability of accurate, up-to-date information on helipads and surrounding obstacles - such as trees, poles, and buildings - that pose significant risks during takeoff and landing. Existing resources, including the Federal Aviation Administration's heliport registry, are often outdated and incomplete, particularly for private or state-operated sites, and fail to report nearby obstacles. This lack of up-to-date data is largely due to privacy restrictions at certain locations and the high cost associated with comprehensive obstacle surveys. To address this challenge, we develop a deep learning (DL) framework that automatically detects helipads and nearby obstacles from high-resolution satellite imagery. Our approach combines Mask R-CNN for precise pixel
Khelifi, AmineCarannante, GiuseppinaBouaynaya, NidhalJohnson, Charles
The Dragonfly relocatable lander was selected as NASA's New Frontiers mission in 2019 to explore the organic-rich surface of Titan, Saturn's largest moon. The coaxial quadrotor vehicle will fly to multiple geologic sites covering a distance of over 50 miles near the Titan equator. At each site, Dragonfly will sample materials, determine the surface composition, and investigate how far prebiotic chemistry has progressed on Titan. Upon arrival, the lander will enter the Titan atmosphere protected inside an aeroshell, which will descend and decelerate with parachutes. At an altitude of approximately 1 km above the ground, the lander will separate from the backshell and perform a controlled transition to powered flight. Prior to separation from the backshell and after the heatshield has been ejected, the Preparation for Powered Flight (PPF) sequence will be initiated, which ensures the lander is in a safe and stable state for autonomous descent. A critical element of PPF is the de-spin
Ventura Diaz, PatriciaEdquist, KarlYoon, Seokkwan
Preparation for Powered Flight (PPF) is a critical phase for Dragonfly, the National Aeronautics and Space Administration (NASA) mission to Saturn’s moon Titan. During PPF the descending Lander is lowered below the Backshell and uses its rotors to remove or “despin” any residual yaw motion of the vehicle. A 1/2-scale model of the Dragonfly PPF configuration was tested in the National Full-Scale Aerodynamics Complex (NFAC) 80 by 120-foot wind tunnel to measure aerodynamic loads and surface pressures on the Lander and Backshell. The results were used to improve understanding of the complex aerodynamic interactions and provide validation data for the Computational Fluid Dynamics (CFD) simulations used to develop the aerodynamic databases for full-scale, Titan conditions. Configurations tested in the wind tunnel included Lander-alone-no-rotors (L), Lander-alone-with-rotors (LR), and Lander-with-Rotors-and-Backshell (LRB). Both LR and LRB configurations were tested at multiple descent
Lorber, PeterWallace, BrianSharma, KalkiBowles, PatrickEdquist, KarlMcGrath, BrianKellermeyer, WilliamGiles, Paul
Fusion Artificial Intelligence Link Synchronization Array for eVTOL Systems (FAILSAFES™) is a resilient and redundant timing and positioning architecture based on low Size, Weight, Power, and Cost (SWaP-C) RF Ranging links for eVTOL systems navigating with Global Navigation Satellite System (GNSS) in degraded or denied environments. This paper describes the overall FAILSAFES™ concept and discusses the underlying Complementary Positioning, Navigation, and Timing (CPNT) capabilities based on ENSCO's PicoRangerTM Array technology (PRAT). PRAT provides an array of low-cost RF ranging links between FAILSAFES™ ground stations and aircrafts to support navigation and timing distribution in GNSS degraded or denied environments. This paper will explore components of FAILSAFES™ and discuss initial PRAT based fusion results with respect to frequency and time stability.
Myrick, WilMatarese, TomTolfree, Mike
ABSTRACT
Johnson, CharlesSpecht, DavidBouaynaya,  NidhalRasool,  Ghulam
Dragonfly is an X-8 octocopter designed to explore Saturn's moon Titan, and is currently under development for launch in 2026. Titan is a uniquely favorable body for atmospheric flight, in that it has a low gravity (1/7 Earth's) and a dense atmosphere (4x Earth's) which reduce the energetic requirements for heavier-than-air flight. Dragonfly will make multiple (autonomous) flights over several years with ranges of the order of 10km to explore different sites on Titan. The key features of the Titan environment are reviewed. These include the characteristics of the landing site terrain, resembling dune fields in terrestrial deserts. Winds are generally very low, ∼ 1m/s. Stronger winds, and methane rainfall, can occur in rare rainstorms, but these are not expected at the latitude and season of Dragonfly's arrival. Brownout and triboelectric charging due to surface dust lofted by rotor downwash is possible, and these hazards and their mitigations are discussed.
Lorenz, Ralph
Flight power and energy requirement models were developed for Titan Aerial Daughtercraft (TAD) mission concepts, in which a small-scale (e.g. ≤ 10 kg) VTOL aircraft would conduct multiple sorties on Titan from a mothership (lander or balloon), recharging batteries from a radioisotope power source (RPS) on the mothership between sorties. The current study considers two design configurations for the TAD, a quadcopter and a tailsitter, and examines potential flight duration and range for lander-based scenarios, as well as allowable payload mass fraction and surface exploration range for balloon-based scenarios. To quantitatively compare the performance of these different configurations, a conceptual design analysis was developed. In a lander-based scenario, assuming a payload mass fraction of 25 percent and a conservative battery model, the estimated flight endurance at Titan's surface for a 10 kg quadcopter and tailsitter was estimated to be 7.6 hours and 11.7 hours respectively. Maximum
Uehara, DaijuMatthies, LarrySirohi, Jayant
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