Title
Enhanced mapping of multi-robot using distortion reducing filter based SIFT
Abstract
This paper proposes an enhanced mapping of multi-robot using a DSIFT to reduce the mapping calculation time In this approach, the master robot transmits each robot's mapping information in SLAM by DSIFT, which incorporates an additional step on the SIFT The DSIFT uses a keypoint to reduce the distortional information throughout the Gaussian filter after the step of the image descriptor The master robot calculates the slave robot's pose using picture images, and serves the results to all the robots Simulation results are presented based on DSIFT showing better performance than using the SIFT in multi-robot mapping situations.
Year
DOI
Venue
2010
10.1007/978-3-642-13495-1_80
ICSI (1)
Keywords
Field
DocType
distortional information,master robot,gaussian filter,mapping information,enhanced mapping,additional step,slave robot,multi-robot mapping situation,better performance,mapping calculation time
Gaussian filter,Scale-invariant feature transform,Computer vision,Computer science,Artificial intelligence,Robot,Distortion
Conference
Volume
ISSN
ISBN
6145
0302-9743
3-642-13494-7
Citations 
PageRank 
References 
0
0.34
7
Authors
4
Name
Order
Citations
PageRank
Kyung-Sik Choi101.01
Yoongu Kim2139644.25
Jinung An311520.43
Sukgyu Lee4105.22