Browse Topic: Satellite communications

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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 Existing resources, including the Federal Aviation Administration's heliport registry, are often outdated and incomplete, particularly for private or state-operated sites, and fail to report nearby obstacles.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-level helipad segmentation with Grounding DINO, a zero-shot vision-language model that identifies obstacles using flexible text prompts (e.g., "Pole", "Tree") without task-specific training. This text-guided, scalable detection method adapts to diverse and evolving operational settings. We validate our framework across helipads in the United States, and demonstrate strong performance in both helipad localization and obstacle detection. In addition, we build a web-based application that automates image processing, updates incorrect heliport coordinates, and provides obstacle reports. This work aims to enhance aviation safety, modernize infrastructure records, and deliver scalable tools to the aviation and machine learning communities.
Khelifi, AmineCarannante, GiuseppinaBouaynaya, NidhalJohnson, Charles
ABSTRACT
Johnson, CharlesSpecht, DavidBouaynaya,  NidhalRasool,  Ghulam
Challenges in Ultra-Wide Band Worldwide Radio Homologation2019-26-01601/9/2019
Ultra-Wide Band has found increasing use case in Indoor and Outdoor location tracking systems. An interesting application of UWB lies in preventing vehicle thefts that use relay attacks on conventional passive entry passive start electronic systems. Due to very large bandwidth ranging from 3 GHz to 10 GHz in case of UWB, the worldwide radio homologation authorities are challenged to come out with appropriate test and approval processes to limit the growing interference and ensure unified and compatible systems throughout the globe. Having worked on global RF regulatory approval processes for over five years in Short Range Devices (SRD) namely for Car Access and Passive Entry (CAPE) products, the authors have gained important insights about the peculiar needs of the industry, regulatory bodies and test laboratories. The paper discusses challenges faced by the authors while working with global and national regulatory agencies of multiple countries in terms of available standard, test infrastructure, interpretation of regulations, validity of homologation certificates in a way to guide new Tier-1 suppliers as well as OEMs. The viewpoint is that of a product developer than that of a regulatory body. There is no comprehensive literature that exists as guidance for emerging suppliers wishing to sell their RF products globally. This paper shall serve as easy to use reference and concise guidelines to develop and sell RF products globally whilst meeting the challenging UWB radio homologation requirements.
Gambhir, AmeyaEthape, SrushtiRebello, Agnetta
Government Resource for Algorithm Verification, Independent Test, and Evaluation (GRAVITE) system is a National Oceanic and Atmospheric Administration (NOAA) system, developed and deployed by Joint Polar Satellite System (JPSS) Ground Project to support Calibration and Validation (Cal/Val), Data Quality Monitoring, and Algorithm Investigation, Tuning and Integration. GRAVITE enables novice and expert users to discover and obtain data easily by using standard protocols. GRAVITE version 3.0 (GV3.0) distribution system is a major upgrade to the GRAVITE version 2.0 (GV2.0) distribution tools. GV2.0 enabled users to easily define dynamic searches, which unfortunately resulted in slowing down the operational database, as no back-end validation was performed.
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