Improving percept reliability in the sony four-legged robot league

Authors:
Walter Nisticò;Thomas Röfer
Affiliations:
Institute for Robot Research (IRF), Universität Dortmund;Center for Computing Technology (TZI), FB 3, Universität Bremen
Venue:
RoboCup 2005
Year:
2006

Citing 2
Cited 4

Artificial intelligence: a modern approach

Artificial intelligence: a modern approach
A Four-step Camera Calibration Procedure with Implicit Image Correction

CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)

Robust team-play in highly uncertain environments

Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Cooperative Visual Tracking in a Team of Autonomous Mobile Robots

RoboCup 2006: Robot Soccer World Cup X
Robust Color Segmentation Through Adaptive Color Distribution Transformation

RoboCup 2006: Robot Soccer World Cup X
Region-Based Segmentation with Ambiguous Color Classes and 2-D Motion Compensation

RoboCup 2007: Robot Soccer World Cup XI

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents selected methods used by the vision system of the GermanTeam, the World Champion in the Sony Four-Legged League in 2004. Color table generalization is introduced as a means to achieve a larger independence of the lighting situation. Camera calibration is necessary to deal with the weaknesses of the new platform used in the league, the Sony Aibo ERS-7. Since the robot camera uses a rolling shutter, motion compensation is required to improve the information extracted from the camera images.