Paper Info
Title
A Path Finding Via VRML and VISION Overlay for Autonomous Robot
Abstract
We describe a method for localizing a mobile robot in its working environment using a vision system and Virtual Reality Modeling Language (VRML). The robot identifies the landmarks located in the environment, using image processing and neural network pattern matching techniques, and then it performs self-positioning based on vision information and a well-known localization algorithm. The correction of position error is performed using the 2-D scene of the vision and the overlay with the VRML scene. Through an experiment, the self-positioning algorithm has been implemented to a prototype robot and also it performed autonomous path tracking.
Year
DOI
Venue
2007
10.1007/978-3-540-71629-7_76
ICANNGA (2)
Keywords
Field
DocType
vision overlay,vision system,vision information,autonomous robot,self-positioning algorithm,working environment,prototype robot,mobile robot,vrml scene,well-known localization algorithm,virtual reality,2-d scene,path finding via vrml,path finding,pattern matching,neural network,virtual reality modeling language
Computer vision,Robot control,Social robot,Computer graphics (images),Machine vision,VRML,Computer science,Artificial intelligence,Mobile robot navigation,Robot,Autonomous robot,Mobile robot
Conference
Volume
ISSN
Citations 
4432
0302-9743
0
PageRank 
References 
Authors
0.34
9
4
Name
Order
Citations
PageRank
Kil To Chong115231.69
Eun-Ho Son200.34
Jongho Park313016.29
Youngchul Kim49221.26