title: Hybrid estimation of navigation parameters from aerial image sequence.
abstract: This work presents a hybrid method for navigation parameter estimation using sequential aerial images, where navigation parameters represent the position and velocity information of an aircraft for autonomous navigation. The proposed hybrid system is composed of two parts: relative position estimation and absolute position estimation. Computer simulation with two different sets of real aerial image sequences shows the effectiveness of the proposed hybrid parameter estimation algorithm.
authors.affiliation: Department of Electronic Engineering, Sogang University, Seoul 100-611, Korea.
authors.forename: D G
authors.initials: DG
authors.lastname: Sim
authors.forename: S Y
authors.initials: SY
authors.lastname: Jeong
authors.forename: D H
authors.initials: DH
authors.lastname: Lee
authors.forename: R H
authors.initials: RH
authors.lastname: Park
authors.forename: R C
authors.initials: RC
authors.lastname: Kim
authors.forename: S U
authors.initials: SU
authors.lastname: Lee
authors.forename: I C
authors.initials: IC
authors.lastname: Kim