International Journal of
Innovation, Management and Technology

Editor-In-Chief: Prof. Jin Wang
Frequency: Semi-annual
ISSN: 2010-0248 (Print)
E-mali: editor@ijimt.org
OPEN ACCESS

IJIET 2012 Vol.3(1): 80-83
doi: 10.7763/IJIMT.2012.V3.201

On Road Navigation System Using Spatial and Motion Image Processing for Automatic Navigation System

Niladri Sekhar Dey , Ramakanta Mohanty , K. L. Chugh

  • MLR Institute of Technology, Hyderabad,Andhra Pradesh.

Abstract

Triggered by the spread of digital aerial image processing and necessary of automatic road navigation systems, this has become a topic of consideration and research. Within our research improving the navigational direction systems based on aerial image acquisition, spatial image acquisition, registration of aerial image onto spatial plane and mosaicing of aerial image frame and spatial image is considered. These techniques then can be applied in order to improve the quality of image registration, image restoration and image mosaicing techniques. In our investigation such a method of registration and restoration is realized based on derivative non linear processing of image sequences. This type of algorithm is especially suitable when huge dataset of aerial images and non stable dataset of spatial images are needed to be mosaic. Additionally on road navigational systems require obstacle removal in high speed, this also will be demonstrated in final part of this paper.

Keywords

  • Aerial Image
  • image mosaicing
  • image registration
  • intelligent navigation system
  • obstacle region detection
  • spatial image
201-CM023

How to Cite

Copied

Niladri Sekhar Dey, Ramakanta Mohanty, and K. L. Chugh, "On Road Navigation System Using Spatial and Motion Image Processing for Automatic Navigation System," International Journal of Innovation, Management and Technology, vol. 3, no. 1, pp. 80-83, 2012. https://doi.org/10.7763/IJIMT.2012.V3.201

Copyright & License

Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Menu