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SUMMARY:Wind Forecasting and Aircraft Trajectory Prediction using a novel 
 concept in Particle Filters
DTSTART:20121026T101500
DTEND:20121026T110000
DTSTAMP:20260510T020835Z
UID:ab2e5a9a9b766d35b364094b1cb8e8890c101d9462eb74a1ad774467
CATEGORIES:Conferences - Seminars
DESCRIPTION:Ioannis Lymperopoulos\nAccurate prediction of aircraft traject
 ories is an important part of decision support and automated tools in air 
 traffic management. By combining information from multiple aircraft at dif
 ferent locations and time instants\, one can provide improved trajectory p
 rediction accuracy. It is shown how this multi-aircraft sensor fusion prob
 lem can be formulated as a high dimensional state estimation problem. The 
 high dimensionality of the problem and nonlinearities in aircraft dynamics
  and control prohibit the use of common filtering methods. A novel particl
 e filtering algorithm is deployed to solve it in realistic scale situation
 s. By exploiting the structure of the problem\, one can address the techni
 cal challenges that arise in the process: handling efficiently the informa
 tion\, dealing with the estimation of a very high dimensional state and de
 aling with the non-linear dynamics of aircraft motion and control. Wind fo
 recast error\, a core source of trajectory prediction uncertainty is also 
 greatly reduced\, while the algorithm can handle\, with slight modificatio
 ns\, joint state and parameter estimation problems\, such as identifying a
 irspeed and estimating position. The effectiveness of the algorithm is dem
 onstrated on feasibility studies involving multiple aircraft (from one to 
 several hundred).\n\n\nBio:\nYannis Lymperopoulos is an Electrical and Com
 puter Engineer. He was granted his diploma in Engineering from the Univers
 ity of Patras and has finished his PhD studies at the Swiss Federal Instit
 ute of Technology (ETH Zurich). During his academic years he has collabora
 ted with groups in Cambridge\, Linkoping\, Honeywell and Eurocontrol worki
 ng on European funded research projects focusing on new concepts in air tr
 affic control. He continued with his military service at the Division of S
 urveillance and Informatics\, while also a scientific advisor to the Army 
 Rotary-Wing Full Flight Simulator committee. This last year he has been ex
 ploiting business opportunities in his home country\, with his start-up 
 “TE-L” that designs and constructs solar power stations at the most su
 nny (and beautiful) locations in Southern Greece.
LOCATION:ME C2 405 http://plan.epfl.ch/?room=ME%20C2%20405
STATUS:CONFIRMED
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