A Survey on Visual Perception for RoboCup MSL Soccer Robots | Zendy

Xun Li | Zendy; Huimin Lu | Zendy; Dan Xiong | Zendy; Hui Zhang | Zendy; Zhiqiang Zheng | Zendy

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A Survey on Visual Perception for RoboCup MSL Soccer Robots

Author(s) -

Xun Li,

Huimin Lu,

Dan Xiong,

Hui Zhang,

Zhiqiang Zheng

Publication year - 2013

Publication title -

international journal of advanced robotic systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.394

H-Index - 46

eISSN - 1729-8814

pISSN - 1729-8806

DOI - 10.5772/55718

Subject(s) - computer science , robot , artificial intelligence , perception , computer vision , robotics , league , soccer robot , object (grammar) , visual perception , human–computer interaction , mobile robot , robot control , psychology , neuroscience , physics , astronomy

Visual perception is the most important method for providing information about the competition environment for RoboCup Middle Size League (MSL) soccer robots. The paper reviews the advancement of visual perception in RoboCup MSL soccer robots from several points of view including the design and calibration of the vision system, the visual object recognition, the estimation of the object's motion, robot visual self-localization and multi-robot cooperative sensing. The research progress we have achieved is also introduced in this review. The developing trends and the future research focuses on this problem are also discussed

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