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dc.contributor.authorChandrasekaran, Balaji K.
dc.contributor.authorSteck, James E.
dc.contributor.authorAhmadabadi, Zahra N.
dc.date.accessioned2021-02-15T17:41:29Z
dc.date.available2021-02-15T17:41:29Z
dc.date.issued2021-01
dc.identifier.citationChandrasekaran, B. K., Steck, J. E., & Ahmadabadi, Z. N. (2021). A vision based parameter estimation for an aircraft in approach phase. Paper presented at the AIAA Scitech 2021 Forum, 1-12., doi.org/10.2514/6.2021-1395en_US
dc.identifier.isbn978-162410609-5
dc.identifier.urihttp://doi.org/10.2514/6.2021-1395
dc.identifier.urihttps://soar.wichita.edu/handle/10057/19799
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractLanding and takeoff are critical phases of an aircraft flight. In recent years automation has taken over some those crucial functions, especially the landing. Aircraft such as Airbus A220 and many business jets are capable of landing autonomously, performing a rollout and complete stop without pilot intervention. These autoland systems require extensive ground-based navigational aids, which increase the cost of airport construction and maintenance. Approaches such as Localizer Performance with Vertical (LPV) guidance, which is not dependent on extensive ground-based navigational aids, provides guidance using GPS position but the system has a decision height of 200 ft. Presented here will be a first step of a broader investigation to use computer vision to develop necessary aircraft-based technology that enables fully autonomous landing by augmenting the LPV approach and providing robust estimates of aircraft states, thus reducing the decision height to 0 ft. Work presented here uses runway data from National Airspace System Resource (NASR) System combined with camera properties to estimate the states of a fixed wing aircraft relative to a runway during the approach phase of flight. The algorithm was able to estimate the position of aircraft within 50 ft during the final phases of approach.en_US
dc.language.isoen_USen_US
dc.publisherAmerican Institute of Aeronautics and Astronautics Inc, AIAAen_US
dc.relation.ispartofseriesAIAA Scitech 2021 Forum;
dc.titleA vision based parameter estimation for an aircraft in approach phaseen_US
dc.typeConference paperen_US
dc.rights.holder© 2021, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.en_US


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