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Plane extraction for navigation of humanoid robot

Plane extraction for navigation of humanoid robot
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摘要 In order to make the humanoid robot walk freely in complicated circumstance,the reliable capabilities for obtaining plane information from its surroundings are demanded.A system for extracting planes from data taken by stereo vision was presented.After the depth image was obtained,the pixels of each line were scanned and split into straight line segments.The neighbouring relation of line segments was kept in link structure.The groups of three line segments were selected as seed regions.A queue was maintained for storing seed regions,and then the plane region was expanded around the seed region.The process of region growing continued until the queue of seed regions was empty.After trimming,the edges of the planes became smooth.In the end,extracted planes were obtained.In the experiment,two models were used:pipe and stairs.Two planes in pipe model and six planes in stairs model were extracted exactly.The speed and precision of algorithm can satisfy the demands of humanoid robot's navigation. In order to make the humanoid robot walk freely in complicated circumstance, the reliable capabilities for obtaining plane information from its surroundings are demanded. A system for extracting planes from data taken by stereo vision was presented, After the depth image was obtained, the pixels of each line were scanned and split into straight line segments. The neighbouring relation of line segments was kept in link structure. The groups of three line segments were selected as seed regions. A queue was maintained for storing seed regions, and then the plane region was expanded around the seed region. The process of region growing continued until the queue of seed regions was empty. After trimming, the edges of the planes became smooth. In the end, extracted planes were obtained. In the experiment, two models were used: pipe and stairs. Two planes in pipe mode/and six planes in stairs model were extracted exactly. The speed and precision of algorithm can satisfy the demands of humanoid robot's navigation.
作者 张彤 肖南峰
出处 《Journal of Central South University》 SCIE EI CAS 2011年第3期627-632,共6页 中南大学学报(英文版)
基金 Project(60776816) supported by the National Natural Science Foundation of China and Civil Aviation Administration of China Project(8251064101000005) supported by the Natural Science Foundation of Guangdong Province,China
关键词 平面区域 机器人导航 提取 模型飞机 人形机器人 直线段 能力要求 周边地区 humanoid robot navigation line segments splitting region growing plane extraction depth image
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