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Development of Obstacle Recognition System of Humanoids Using Relative Disparity Maps from Small Range Image Sensors
Author(s) -
Naotaka Hikosaka,
Kei Watanabe,
Kazunori Umeda
Publication year - 2007
Publication title -
journal of robotics and mechatronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.257
H-Index - 19
eISSN - 1883-8049
pISSN - 0915-3942
DOI - 10.20965/jrm.2007.p0290
Subject(s) - obstacle , computer vision , artificial intelligence , humanoid robot , computer science , range (aeronautics) , controller (irrigation) , plane (geometry) , image plane , robot , image (mathematics) , engineering , mathematics , geography , archaeology , aerospace engineering , agronomy , geometry , biology
We discuss the recognition of obstacles by detecting a plane using relative disparity maps obtained from a small range image sensor incorporated in a humanoid. Our proposal enables easy plane detection and obstacle recognition using relative disparity from a reference plane alone. We built an integrated controller that feeds back obstacle information to the humanoid. We confirmed through experiments that the humanoid recognized obstacles and autonomously stopped walking.

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