首页> 外文会议>ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference 2007 >SIMULTANEOUS PEDESTRIAN AND ROBOT LOCALIZATION TECHNIQUE IN AN INDOOR UBIQUITOUS ROBOTIC SPACE (URS)
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SIMULTANEOUS PEDESTRIAN AND ROBOT LOCALIZATION TECHNIQUE IN AN INDOOR UBIQUITOUS ROBOTIC SPACE (URS)

机译:室内泛型机器人空间(URS)中的同时行人和机器人定位技术

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This paper proposes a simultaneous localization technique of mobile robot and pedestrian in ubiquitous sensor network. For the robot localization, a dead-reckoning system is developed wherein odometer, magnetic compass, and heading angle rate sensor are used. The novelty of dead-reckoning system developed in this paper is that it does not use acceleration in motion dynamic equation. Since the dead-reckoning system does not use linear acceleration, the system is not affected by high frequency noise, which is usually contained in the accelerometer measurement. For the pedestrian tracking, ubiquitous sensor network such as IEEE 802.15.4 is used. In this paper, it is also assumed that the relative direction of the pedestrian from the mobile robot is measured on the robot platform. Extended Kalman filter is used to integrate the sensor measurements. Simulation results will be presented to demonstrate the superiority of the proposed simultaneous localization technique.
机译:本文提出了一种遍及传感器网络的移动机器人与行人同时定位技术。对于机器人定位,开发了一种死区推入系统,其中使用了里程表,磁罗盘和航向角速率传感器。本文开发的死区推斥系统的新颖之处在于它没有在运动动力学方程中使用加速度。由于静推推力系统不使用线性加速度,因此该系统不受高频噪声的影响,而高频噪声通常包含在加速度计的测量中。对于行人跟踪,使用了无处不在的传感器网络,例如IEEE 802.15.4。在本文中,还假设在机器人平台上测量了来自移动机器人的行人的相对方向。扩展卡尔曼滤波器用于积分传感器测量值。仿真结果将被展示以证明所提出的同时定位技术的优越性。

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