{"_id":"avTCnxuDQQXkicoSA","bibbaseid":"giribet-mas-moreno-visionbasedintegratednavigationsystemandoptimalallocationinformationflying-2018","downloads":0,"creationDate":"2018-08-24T17:14:54.396Z","title":"Vision-based Integrated Navigation System and Optimal Allocation in Formation Flying","author_short":["Giribet, J. I.","Mas, I.","Moreno, P."],"year":2018,"bibtype":"inproceedings","biburl":"http://web.fi.uba.ar/~imas/mas_pubs.bib","bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"propositions":[],"lastnames":["Giribet"],"firstnames":["Juan","I."],"suffixes":[]},{"propositions":[],"lastnames":["Mas"],"firstnames":["Ignacio"],"suffixes":[]},{"propositions":[],"lastnames":["Moreno"],"firstnames":["Patricio"],"suffixes":[]}],"title":"Vision-based Integrated Navigation System and Optimal Allocation in Formation Flying","booktitle":"Proceedins of International Conference on Unmanned Aerial Aircrafts (ICUAS)","year":"2018","editor":[{"firstnames":[],"propositions":[],"lastnames":["ICUAS"],"suffixes":[]}],"pages":"52–61","address":"Dallas, USA","publisher":"ICUAS","abstract":"— This article proposes an integrated navigation system for multiple micro aerial vehicles flying in formation. A data fusion algorithm uses measurements from an inertial measurement unit, a GPS receiver, and a camera allowing to use the positioning information of the surrounding vehicles to improve its estimation. A measure of the navigation perfor-mance of the formation is defined. Based on such measure, the position where each vehicle should be located in the formation is studied to guarantee the best overall navigation quality.","doi":"10.1109/ICUAS.2018.8453429","file":":Giribet2018b - Vision Based Integrated Navigation System and Optimal Allocation in Formation Flying.pdf:PDF","isbn":"9781538613535","bibtex":"@InProceedings{Giribet2018b,\r\n author = {Giribet, Juan I. and Mas, Ignacio and Moreno, Patricio},\r\n title = {{Vision-based Integrated Navigation System and Optimal Allocation in Formation Flying}},\r\n booktitle = {Proceedins of International Conference on Unmanned Aerial Aircrafts {(ICUAS)}},\r\n year = {2018},\r\n editor = {ICUAS},\r\n pages = {52--61},\r\n address = {Dallas, USA},\r\n publisher = {ICUAS},\r\n abstract = {— This article proposes an integrated navigation system for multiple micro aerial vehicles flying in formation. A data fusion algorithm uses measurements from an inertial measurement unit, a GPS receiver, and a camera allowing to use the positioning information of the surrounding vehicles to improve its estimation. A measure of the navigation perfor-mance of the formation is defined. Based on such measure, the position where each vehicle should be located in the formation is studied to guarantee the best overall navigation quality.},\r\n doi = {10.1109/ICUAS.2018.8453429},\r\n file = {:Giribet2018b - Vision Based Integrated Navigation System and Optimal Allocation in Formation Flying.pdf:PDF},\r\n isbn = {9781538613535},\r\n}\r\n\r\n","author_short":["Giribet, J. I.","Mas, I.","Moreno, P."],"editor_short":["ICUAS"],"key":"Giribet2018b","id":"Giribet2018b","bibbaseid":"giribet-mas-moreno-visionbasedintegratednavigationsystemandoptimalallocationinformationflying-2018","role":"author","urls":{},"downloads":0},"search_terms":["vision","based","integrated","navigation","system","optimal","allocation","formation","flying","giribet","mas","moreno"],"keywords":[],"authorIDs":["5ad79e77dd3bc11000000085","5e14958b08c265de010001f9","5e416eded9f47bee0100008b","5e679ee6d527f0de010001fd","ZqjtYpawxvYBy4MTt"],"dataSources":["HbToPFgJqBysgkP7j"]}