首页> 外文会议>Integrated Design amp; Process Technology vol.1(IDPT-Vol.1, 2005) >AVOIDANCE OF BARRIER FOR MOBILE ROBOT BASED ON NEURALNETWORK INTEGRATION AND MUTI-SENSOR FUSION
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AVOIDANCE OF BARRIER FOR MOBILE ROBOT BASED ON NEURALNETWORK INTEGRATION AND MUTI-SENSOR FUSION

机译:基于神经网络集成和多传感器融合的移动机器人障碍物规避

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摘要

A new technology emerges recently to thernmulti-sensor information fusion, which takes on betterrnpracticality and superiority. Since more information canrnbe obtained and the ability of target identification can bernenhanced with multi-sensor information fusion technology,rnthus the limitation of a single sensor system can bernavoided. The paper develops a kind of structure ofrnmulti-sensor information date fusion based on NeuralrnNetwork and Neural Network integration. It can improvernthe robustness and reliability .The simulation with thernrobotic multi-sensor barrier identification is alsornpresented and discussed.
机译:近来出现了一种新的多传感器信息融合技术,具有更好的实用性和优越性。由于可以通过多传感器信息融合技术获得更多的信息,并且可以增强目标识别的能力,因此可以避免单传感器系统的局限性。本文开发了一种基于神经网络和神经网络集成的多传感器信息数据融合结构。提出并讨论了基于机器人多传感器障碍物识别的仿真。

著录项

  • 来源
  • 会议地点 Beijing(CN)
  • 作者单位

    School of Mechanical Engineering, Hebei University of Technology,rnTianjin 300130, China;

    School of Mechanical Engineering, Hebei University of Technology,rnTianjin 300130, China;

    School of Mechanical Engineering, Hebei University of Technology,rnTianjin 300130, China;

    School of Electronics and Information , Tianjin University,rnTianjin 300072,China;

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  • 正文语种 eng
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