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基于AdaBoost算法的智能轮椅避障研究
引用本文:牛景丽,宋瑞菊.基于AdaBoost算法的智能轮椅避障研究[J].工业控制计算机,2011,24(7):34-35,37.
作者姓名:牛景丽  宋瑞菊
作者单位:河南工程技术学校,河南焦作,454012
摘    要:随着计算机图像处理能力和技术的发展,视觉传感器在移动机器人导航和障碍物识别中的应用越来越受到重视.将AdaBoost算法用于智能轮椅的障碍物识别,在Visual C++6.0平台下,用AdaBoost算法训练得到用于障碍物检测的强分类器,然后利用该分类器进行检测出目标障碍物,并用模糊神经网络的方法对轮椅的声纳信息,视觉...

关 键 词:智能轮椅  AdaBoost算法  Haar-Like特征  目标识别

Intelligent Wheelchair Obstacles Avoiding Based on AdaBoost Algorithm
Abstract:Along with the development of computer image processing capacity and technology,visual sensor on the mobile robot navigation and the application of obstacles identify are taken more and more attention.In this paper Adaboost algorithm is used for intelligent wheelchair obstacles recognition and in Visual C++ 6.0 Adaboost algorithm with flat,get the training for obstacles detection,and by using strong classifier for the classifier,and detect the target obstacles method of fuzzy neural network information,Visual wheelchairs sonar information,get accurate information fusion obstacle-avoidance path.
Keywords:Iintelligent Wheelchair  Adaboost Algorithm  Haar-like Features  object identification
本文献已被 CNKI 维普 万方数据 等数据库收录!
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