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A new framework of distributed multisensor fusion for intelligentsystems

机译:智能化的分布式多传感器融合新框架系统

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To tackle the complexity of robotic multiple sensor fusion asuitable system structure is urgently required. Most structures atpresent have a fusion center to deal with information from varioussensors located at different points, but unfortunately have no necessaryconnections between low-level sensors. Consequently the fusion centerhas more responsibility for communication and signal interpretation,which causes bottle-neck problem. Moreover sensors cannot help eachother to improve the task environment recognition efficiency. Toovercome the above drawbacks we define the concept of smart sensor atfirst. Each smart sensor should have five abilities, that is prediction,planning, updating, communication and assimilation. Then we discuss thealgorithm of a perception system which consists of several smartsensors. At last we take two application case study as examples toillustrate our new idea
机译:为了解决机器人多传感器融合的复杂性, 迫切需要合适的系统结构。的大多数结构 目前有一个融合中心来处理来自各种信息 传感器位于不同的点,但是不幸的是没有必要 低电平传感器之间的连接。因此,融合中心 对通信和信号解释负有更多责任, 这会导致瓶颈问题。而且传感器无法帮助每个人 其他提高任务环境识别效率。到 克服了以上缺点,我们在以下位置定义了智能传感器的概念 第一的。每个智能传感器应具有五种能力,即预测能力, 规划,更新,沟通和同化。然后我们讨论 包含几个智能的感知系统的算法 传感器。最后我们以两个应用案例研究为例 说明我们的新想法

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