基于近红外视觉的机器人室外定位系统

Mobile Robot Localization in Outdoor Environments Based on Near-infrared Vision

  • 摘要: 在光照条件可变且存在电磁干扰的环境下,针对机器人室外导航任务,提出了一种基于全景近红外视觉和编码路标的自定位系统.通过近红外光源照明,利用全景视觉识别采用条形编码格式的路标,并利用扩展卡尔曼滤波算法(EKF)融合视觉数据和里程计数据,从而实现机器人自定位.实验证明,该方法消除了室外大范围导航时光照变化对机器人定位结果的影响.

     

    Abstract: A self-localization system based on near-infrared vision and bar-coded landmarks for robot navigating in out-door environment with variable light conditions and electromagnetic interference is presented.The near-infrared illuminator and omni-directional vision are used for recognizing bar-coded landmarks.Data from vision system and odometry are fused with an extended Kalman filter(EKF) to realize robot self-localization.The experiment result demonstrates that the proposed method eliminates the effect of light variations on robot localization in outdoor long-range navigation.

     

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