Robust and accurate detection of object orientation and ID without color segmentation

Authors:
Shoichi Shimizu;Tomoyuki Nagahashi;Hironobu Fujiyoshi
Affiliations:
Dept. of Computer Science, Chubu University, Japan;Dept. of Computer Science, Chubu University, Japan;Dept. of Computer Science, Chubu University, Japan
Venue:
RoboCup 2005
Year:
2006

Citing 0
Cited 2

Introducing Physical Visualization Sub-league

RoboCup 2007: Robot Soccer World Cup XI
A new minirobotics system for teaching and researching agent-based programming

CATE '07 Proceedings of the 10th IASTED International Conference on Computers and Advanced Technology in Education

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes a novel approach to detecting orientation and identity of robots without color segmentation. The continuous DP matching calculates the similarity between the reference pattern and the input pattern by matching the intensity changes of the robot markers. After the continuous DP matching, a similarity value is used for object identification. Correspondences of the optimal route obtained by back tracing are used for estimating the robot's orientation. This method archives orientation estimations of less than 1 degree and robustness with respect to varying light conditions.