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An Improvement of Hough Transform for Building Feature map

机译:建筑功能地图的霍夫变换改进

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摘要

Map building is very important to accomplish autonomous navigation and other complex intelligent tasks. A t, novel method of feature map building was proposed to process the uncertainty data and noise data of sonar. This method has introduced sonar arc to describe detectable region for sonar, and extracted line by a novel Hough transform based on randomized Hough transform and multi-resolution Hough transform to accomplish autonomous map building of mobile robot. So uncertainty in sonar sensor responses can be successfully reduced. The experiment results indicate that the method is more effective and better real-time performance.
机译:地图建设对于实现自主导航和其他复杂的智能任务非常重要。提出了一种新的特征图建筑方法来处理声纳的不确定性数据和噪声数据。这种方法引入了声纳弧形描述了声纳的可检测区域,并通过基于随机霍夫变换和多分辨率Hough变换的新型Hough变换来完成移动机器人的自主地图建设。因此,可以成功减少声纳传感器响应的不确定性。实验结果表明该方法更有效,更好的实时性能。

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