[{"data":1,"prerenderedAt":102},["ShallowReactive",2],{"/resources/papers/gnss":3},{"id":4,"title":5,"authors":6,"badge":36,"body":38,"cta":88,"date":89,"description":90,"extension":91,"image":92,"links":88,"meta":96,"navigation":97,"path":98,"seo":99,"stem":100,"__hash__":101},"resources/resources/papers/gnss.md","GNSS Simulator to Achieve Immersive Drone Testing",[7,12,17,19,21,23,25,27,29,31],{"name":8,"to":9,"avatar":10},"Guillaume Catry","https://www.linkedin.com/in/guillaume-catry",{"src":11},"/img/people/guillaume-catry.webp",{"name":13,"to":14,"avatar":15},"Nicolas Bosson","https://www.linkedin.com/in/nicolas-bosson-52401b12b",{"src":16},"/img/people/nicolas-bosson.webp",{"name":18},"Thierry Bujard",{"name":20},"Andy Thurling",{"name":22},"Aleksandar Dzodic",{"name":24},"Peter Le Porin",{"name":26},"Ningshan Wang",{"name":28},"Amit K Sanyal",{"name":30},"Mark Glauser",{"name":32,"to":33,"avatar":34},"Flavio Noca (PhD)","https://www.linkedin.com/in/flavio-noca",{"src":35},"/img/people/flavio-noca.webp",{"label":37},"Research Paper",{"type":39,"value":40,"toc":82},"minimark",[41,46,50,53,56,59,63,73],[42,43,45],"h2",{"id":44},"abstract","Abstract",[47,48,49],"p",{},"Today, traditional drone testing techniques are of poor quality. Drones are either tested outdoors quite remote from the\noWeather, winds, thermals, and turbulence pose an ever-present challenge to small Unmanned Aerial Systems (UAS). These\nchallenges become magnified in rough terrain and especially within urban canyons. As the industry moves to Beyond\nVisual Line of Sight (BVLOS) operations, resilience to weather perturbations will be key. As the human decision-maker is\nremoved both from the in-situ environment and from one-to-one responsibility for the safety of the air vehicles under\nhis or her control, better weather detection and prediction at increasingly small scales becomes vital to preserving the\nsafety of the National Airspace System (NAS).",[47,51,52],{},"In order to provide decision-quality weather information to the UAS pilot or operator, two critical pieces of the puzzle\nare required. First, better detection and prediction capabilities at a much smaller scale are required. However,\nprediciton cannot account for local, dynamic perturbations. The pilot or operator need to understand the effects of\nweather on the specific UAS for which they are responsible. This area of knowledge – the effect of the disturbance on a\nUAS and its ability to reject this disturbance - presents some unique concerns, especially for commercial UAS which tend\nto be designed with Commercial Off the Shelf (COTS) components, and have rapid development, deployment, and disposal\ncycles.",[47,54,55],{},"Second, understanding the influence weather has on small UAS is imperative as we start to define the performance\nrequirements for the Unmanned Traffic Management (UTM) system. Indeed, the UTM concept is based on the idea that users\nof the system will share their intent amongst themselves and thus achieve a type of strategic deconfliction. As the size\nof the operational volumes reserved shrinks, the flight plan looks more and more like a four-dimensional trajectory (\n4DT) operation. Multiple vehicle 4DT requires a sufficiently \"tight\" – or at least quantified – performance from the UAS\nto guarantee safety. In fact, the current standard for UTM requires that the UAS shared intend or “flight plan” include\nenough buffer to contain the UAS 95% of the time.",[47,57,58],{},"This paper presents the work done to date in developing a repeatable technique for quanti- fying the response to\ndisturbances and the associated ability to maintain course and timeline (i.e. 4DT “flight plan”) of a commercially\nrelevant, operationally representative UAS.",[42,60,62],{"id":61},"full-article","Full Article",[47,64,65,66],{},"Link to the full article as PDF:\n",[67,68,72],"a",{"download":69,"href":70,"target":71},"WindShape-Free-Flight-GNSS-Scitech-2021.pdf","/articles/2021-AIAA-Scitech-GNSS.pdf","_blank","Download",[74,75,76,77],"div",{},"\n    ",[78,79],"embed",{"src":70,"width":80,"height":81},"100%","500px",{"title":83,"searchDepth":84,"depth":84,"links":85},"",2,[86,87],{"id":44,"depth":84,"text":45},{"id":61,"depth":84,"text":62},null,"2021-01-05","Drones will soon fill our aerial ecosystem in the field of imaging/cartography, parcel delivery, and passenger transport, and will need to operate around the clock in arbitrary atmospheric conditions, especially in adverse weather conditions during emergency situations.  Drones are much smaller than conventional aircraft and are thus more sensitive to weather conditions.","md",{"src":93,"width":94,"height":95},"/img/papers-header/2021-AIAA-Scitech-GNSS.png",1000,500,{},true,"/resources/papers/gnss",{"title":5,"description":90},"resources/papers/gnss","1U1fBRwQx-aIoR2-d_dEtz_KSJWADA1eZ-SHkn5bDbw",1774344909581]