首页> 外文期刊>International Journal of Pattern Recognition and Artificial Intelligence >SPATIAL MAP BUILDING USING FAST TEXTURE ANALYSIS OF ROTATING SONAR SENSOR DATA FOR MOBILE ROBOTS
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SPATIAL MAP BUILDING USING FAST TEXTURE ANALYSIS OF ROTATING SONAR SENSOR DATA FOR MOBILE ROBOTS

机译:基于移动机器人旋转声纳传感器数据快速纹理分析的空间地图构建

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摘要

This paper presents a novel, fast algorithm for accurate detection of the shape of targets around a mobile robot using a single rotating sonar element. The rotating sonar yields an image built up by the reflections of an ultrasonic beam directed at different scan angles. The image is then interpreted with an image-understanding approach based on texture analysis. Several important tasks are performed in this way, such as noise removal, echo correction and restoration. All these processes are obtained by estimating and restoring the degree of texture continuity. Texture analysis, in fact, allows us to look at the image on a large scale thus giving the possibility to infer the overall behavior of the reflection process. The algorithm has been integrated in a mobile robot. However, the algorithm is not suitable for working during the mobile robot movement, rather it can be used during the period when the robot stays in a fixed position.
机译:本文提出了一种新颖的快速算法,可使用单个旋转声纳元件精确检测移动机器人周围的目标形状。旋转声纳产生的图像是由指向不同扫描角度的超声波束的反射建立的。然后使用基于纹理分析的图像理解方法来解释图像。以这种方式执行了一些重要的任务,例如噪声消除,回声校正和恢复。所有这些过程都是通过估计和恢复纹理连续性的程度而获得的。实际上,纹理分析使我们可以大规模查看图像,从而可以推断反射过程的整体行为。该算法已集成到移动机器人中。但是,该算法不适用于移动机器人运动期间的工作,而是可以在机器人停留在固定位置期间使用。

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