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A MULTI-CAMERA SYSTEM FOR MOBILE ROBOT LOCALIZATION

机译:用于移动机器人定位的多相机系统

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This paper presents a multi-camera system for mobile robot localization in indoor environment. The system consists of wall-mounted cameras with LED illuminator and a processing unit. The processing unit is a PC-cluster developed in-house. It consists of a two-computer system connected by PCI-to-PCI interface board with fiber-optic cable. The camera system provides robot pose information, position and orientation, in real-time with respect to the global reference frame. Three artificial landmarks, which are spherical reflective markers, are mounted on the robot to reduce complexity in localization and tracking. The Kalman filter tracking algorithm is applied to estimate markers position. With this estimation, the system bandwidth and robustness are improved. The robot is controlled by sending command via wireless Ethernet connection. By using measurements from the camera system, experiments on robot motion control with specified trajectories show the effectiveness of our developed system. In the near future, the system can use information from robot’s onboard sensors such as laser range finder and sonar for development of obstacle detection and autonomous navigation.
机译:本文介绍了室内环境中的移动机器人定位多相机系统。该系统由壁挂式摄像机组成,带有LED发光器和处理单元。处理单元是在内部开发的PC集群。它由带有光纤电缆的PCI-to-PCI接口板连接的两台计算机系统组成。相机系统在全局参考帧实时地提供机器人姿态,位置和方向。三个人造地标是球形反射标记,安装在机器人上,以降低定位和跟踪的复杂性。 Kalman滤波器跟踪算法应用于估计标记位置。通过该估计,系统带宽和鲁棒性得到改善。通过无线以太网连接发送命令来控制机器人。通过使用相机系统的测量,具有指定轨迹的机器人运动控制的实验显示了我们开发系统的有效性。在不久的将来,该系统可以使用机器人车载传感器的信息,例如激光范围查找器和声纳用于开发障碍物检测和自主导航。

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