A Path Finding Via VRML and VISION Overlay for Autonomous Robot

Authors:
Kil To Chong;Eun-Ho Son;Jong-Ho Park;Young-Chul Kim
Affiliations:
Division of Electronics and Information Engineering, Chonbuk National University, Duckjin-Dong, Duckjin-Gu, Jeonju 561-756, Korea;Division of Electronics and Information Engineering, Chonbuk National University, Duckjin-Dong, Duckjin-Gu, Jeonju 561-756, Korea;Division of Electronics and Information Engineering, Chonbuk National University, Duckjin-Dong, Duckjin-Gu, Jeonju 561-756, Korea;Department of Mechanical Engineering, Kunsan National University, Korea
Venue:
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Year:
2007

Citing 4
Cited 0

Vision for Mobile Robot Navigation: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
Increasing the visualization realism by frame synchronization between the VRML browser and the panoramic image viewer

International Journal of Human-Computer Studies
Pattern Recognition: Neural Networks in Perspective

IEEE Expert: Intelligent Systems and Their Applications
Introduction to Autonomous Mobile Robots

Introduction to Autonomous Mobile Robots

Quantified Score

Hi-index	0.00

Visualization

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.