Share Email Print

Proceedings Paper

Multi-hop path tracing of mobile robot with multi-range image
Author(s): Ramakanta Choudhury; Chandrakanta Samal; Umakanta Choudhury
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

It is well known that image processing depends heavily upon image representation technique . This paper intends to find out the optimal path of mobile robots for a specified area where obstacles are predefined as well as modified. Here the optimal path is represented by using the Quad tree method. Since there has been rising interest in the use of quad tree, we have tried to use the successive subdivision of images into quadrants from which the quad tree is developed. In the quad tree, obstacles-free area and the partial filled area are represented with different notations. After development of quad tree the algorithm is used to find the optimal path by employing neighbor finding technique, with a view to move the robot from the source to destination. The algorithm, here , permeates through the entire tree, and tries to locate the common ancestor for computation. The computation and the algorithm, aim at easing the ability of the robot to trace the optimal path with the help of adjacencies between the neighboring nodes as well as determining such adjacencies in the horizontal, vertical and diagonal directions. In this paper efforts have been made to determine the movement of the adjacent block in the quad tree and to detect the transition between the blocks equal size and finally generate the result.

Paper Details

Date Published: 26 February 2010
PDF: 10 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75462T (26 February 2010); doi: 10.1117/12.856309
Show Author Affiliations
Ramakanta Choudhury, Maharaja Agrasen Institute of Technology (India)
Chandrakanta Samal, Delhi Univ. (India)
Umakanta Choudhury, Ideal College Ghaziabad (India)

Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?