• Jul 03, 2017 News!Good News! Since 2017, IJMLC has been indexed by Scopus!
  • Jul 06, 2017 News!Vol.7, No.2 has been published with online version.   [Click]
  • Jul 01, 2017 News!Vol.7, No.1 has been published with online version.   [Click]
Search
General Information
Editor-in-chief
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2013 Vol. 3(1): 151-153 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2013.V3.291

Absolute Position Determination with Single Vision Using Laser Range Finders

H. S. Woo, K. S. Kwon, and B. G. Kim
Abstract—With the speed of information networks and the demand for real time service over the past few years, demand for up-to-date spatial information has accordingly been rising. Mobile mapping systems can be efficient equipments that meet such requirements to achieve real-time spatial information. For that, rapid absolute position determination is needed using images obtained from mobile mapping systems. A method has been proposed, which determine the absolute position of single vision in real time using sensor position, attitude information, and distances acquired from laser range finders. The proposed method provides the solution of absolute position with distances of more than 3 measuring points and angles between rays connecting the lens to the road surface. It is expected that the proposed method can perform rapid geospatial data generation from single vision by minimizing separate post-processing for absolute position determination.

Index Terms—Laser range finders, real time, absolute position, single vision.

The authors are with the Dept. of Geo-informatic Eng., Inha University, Incheon, Korea (e-mail: heesook@inha.edu; kskwon02@gmail.com; byungkim@inha.ac.kr).

[PDF]

Cite:H. S. Woo, K. S. Kwon, and B. G. Kim, "Absolute Position Determination with Single Vision Using Laser Range Finders," International Journal of Machine Learning and Computing vol. 3, no. 1, pp. 151-153, 2013.

Copyright © 2008-2015. International Journal of Machine Learning and Computing. All rights reserved.
E-mail: ijmlc@ejournal.net