Ref.No: 65176800
Start date: 01.12.2009
End date: 15.02.2012
Approval date: 29.01.2010
Department: RURAL & SURVEYING ENGINEERING
Sector: TOPOGRAPHY SCOPE
Financier: EIDIKOS LOG/MOS EMP
Budget: 15.000,00 €
Scientific Responsible: Assist. Prof. GKIKAS
Email: vgikas@central.ntua.gr
Description: THE MAIN OBJECTIVE OF THIS PROJECT IS TO EXPLORE THE POTENTIAL OF NOVEL MACHINE LEARNING TECHNIQUES IN THE DOMAIN OF NAVIGATION FILTERING AND GNSS/INS FUSION. MORE SPECIFICALLY WE AIM TO DEVELOP A SET OF HYBRID KALMAN/SVM ALGORITHMS THAT WILL LEAD TO A
Go to Top