Title :
An algorithm for the extraction of static features from 3D Flash LADAR datasets: Supporting navigation in GPS challenged environments
Author :
Markiel, J.N. ; Grejner-Brzezinska, D. ; Toth, C.
Author_Institution :
Ohio State Univ., Columbus, OH
Abstract :
3D Flash LADAR cameras provide ranging information at a high frame rate, offering the opportunity to navigate from imaged features. This requires the identification of common features from multiple images acquired from different positions. It is necessary to determine if the features exhibit a static condition, such that moving elements in the imageries are not utilized as part of the navigation solution. Extending previous research (ION April 2006, ION September 2006) in the utilization of implicit polynomials for feature extraction, a new algorithmic approach for the extraction of static and non-static features is exhibited.
Keywords :
Global Positioning System; optical radar; 3D Flash LADAR cameras; 3D Flash LADAR dataset; GPS challenged environment; feature extraction; implicit polynomials; navigation; ranging information; static features; Cameras; Clustering algorithms; Data mining; Feature extraction; Global Positioning System; Laser radar; Polynomials; Satellite navigation systems; Surface fitting; Testing;
Conference_Titel :
Position, Location and Navigation Symposium, 2008 IEEE/ION
Conference_Location :
Monterey, CA
Print_ISBN :
978-1-4244-1536-6
Electronic_ISBN :
978-1-4244-1537-3
DOI :
10.1109/PLANS.2008.4570063