Detect and avoid considerations for safe sUAS operations in urban environments

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dc.contributor.authorCeldran Martinez, Victor
dc.contributor.authorInce, Bilkan
dc.contributor.authorKumar Selvam, Praveen
dc.contributor.authorPetrunin, Ivan
dc.contributor.authorSeo, Min-Guk
dc.contributor.authorAnastassacos, Edward
dc.contributor.authorRoyall, Paul G.
dc.contributor.authorCole, Adrian
dc.contributor.authorTsourdos, Antonios
dc.contributor.authorKnorr, Sebastian
dc.date.accessioned2021-12-20T09:28:23Z
dc.date.available2021-12-20T09:28:23Z
dc.date.issued2021-11-15
dc.description.abstractOperations involving small Unmanned Aerial Systems (sUAS) in urban environments are occurring ever more frequently as recognized applications gain acceptance, and new use cases emerge, such as urban air mobility, medical deliveries, and support of emergency services. Higher demands in these operations and the requirement to access urban airspace present new challenges in sUAS operational safety. The presence of Detect and Avoid (DAA) capability of sUAS is one of the major requirements to its safe operation in urban environments according to the current legislation, such as the CAP 722 in the United Kingdom (UK). The platform or its operator proves a full awareness of all potential obstacles within the mission, maintains a safe distance from other airspace users, and, ultimately, performs Collision Avoidance (CA) maneuvers to avoid imminent impacts. Different missions for the defined scenarios are designed and performed within the simulation model in Software Tool Kit (STK) software environment, covering a wide range of practical cases. The acquired data supports assessment of feasibility and requirements to real-time processing. Analysis of the findings and simulation results leads to a holistic approach to implementation of sUAS operations in urban environments, focusing on extracting critical DAA capability for safe mission completion. The proposed approach forms a valuable asset for safe operations validation, enabling better evaluation of risk mitigation for sUAS urban operations and safety-focused design of the sensor payload and algorithms.en_UK
dc.identifier.citationCeldran Martinez V, Ince B, Kumar Selvam P, et al., (2021) Detect and avoid considerations for safe sUAS operations in urban environments. In: 2021 AIAA/IEEE 40th Digital Avionics Systems Conference (DASC), 3-7 October 2021, San Antonio, USAen_UK
dc.identifier.eisbn978-1-6654-3420-1
dc.identifier.issn2155-7209
dc.identifier.urihttps://doi.org/10.1109/DASC52595.2021.9594407
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/17339
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectDetect and Avoid (DAA)en_UK
dc.subjectsmall Unmanned Aircraft Systems (sUAS)en_UK
dc.subjectSafety Operationsen_UK
dc.subjectRisk Mitigation in Urban Environmentsen_UK
dc.titleDetect and avoid considerations for safe sUAS operations in urban environmentsen_UK
dc.typeConference paperen_UK

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