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TARGET LOCALIZATION BASED ON MULTISENSOR FUSION FOR MOBILE ROBOTS

机译:基于多传感器融合的移动机器人目标定位

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摘要

Using CCD, ultrasonic and infrared sensors, the authors propose a new hierarchical architecture for multisensor fusion, along with its algorithms for mobile robots. According to the architecture, firstly, an approach to locating targets is proposed when only ultrasonic sensors are available. Secondly, Gabor filter technology is employed to recognize unknown targets using the images provided by the CCD alone. Moreover, on the basis of the polynomial approximation, a method for calculating the coordinates of the ground special points, which are taken as the position descriptions of the recognized target, is presented. Thirdly, when CCD and ultrasonic sensors are available simultaneously, elements at the intersection of the information from CCD and ultrasonic sensors are fused to form reliable position coordinates of the recognized target. Last, the algorithm is tested on our designed and developed mobile robot, CASIA-I.
机译:通过使用CCD,超声波和红外传感器,作者提出了一种用于多传感器融合的新分层体系结构,以及针对移动机器人的算法。根据该架构,首先,提出了一种仅在可用超声传感器时定位目标的方法。其次,采用Gabor滤波技术仅通过CCD提供的图像即可识别未知目标。此外,基于多项式逼近,提出了一种用于计算地面特殊点的坐标的方法,该坐标被用作识别目标的位置描述。第三,当同时使用CCD和超声传感器时,来自CCD和超声传感器的信息交点处的元素将融合在一起,以形成被识别目标的可靠位置坐标。最后,在我们设计和开发的移动机器人CASIA-I上对该算法进行了测试。

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