首页> 外文会议>Adaptive and Natural Computing Algorithms pt.2; Lecture Notes in Computer Science; 4432 >Neural Network Mapping of Magnet Based Position Sensing System for Autonomous Robotic Vehicle
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Neural Network Mapping of Magnet Based Position Sensing System for Autonomous Robotic Vehicle

机译:基于磁铁的自主机器人车辆位置传感系统的神经网络映射

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In this paper a neural network mapping of magnet based position sensing system for an autonomous robotic vehicle. The position sensing system using magnetic markers embedded under the surface of roadway pavement. An important role of magnetic position sensing is identification of vehicle's location. The magnetic sensor measures lateral distance when the vehicle passes over the magnetic marker. California PATH has developed a table-look-up as an inverse map. But it's requires too many memories to store the vast magnetic field data. Thus we propose the magnetic guidance system with simple mapping using neural network.
机译:在本文中,基于神经网络的自动驾驶机器人基于磁体的位置传感系统映射。位置感应系统使用嵌入行车道表面下的磁性标记。磁性位置感测的重要作用是识别车辆的位置。当车辆经过磁性标记时,磁性传感器会测量横向距离。 California PATH已开发出一张表格查找表作为反向地图。但这需要太多的内存来存储大量的磁场数据。因此,我们提出了一种使用神经网络进行简单映射的磁性制导系统。

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