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Mutual localization of sensor node robots

机译:传感器节点机器人的相互定位

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The objective of this paper is to develop a localization system for cooperative multiple mobile robots, in which each robot is assumed to observe a set of known landmarks and equipped with an omnidirectional camera. If only a limited number of landmarks are available, it suffers from law accuracy. In this paper, it is assumed that a robot can detect other robots by using the omnidirectional camera and know their positions estimated by themselves and utilize the positions for its localization. In other words each robot can be viewed as a new mobile landmark. However, since the position information estimated by the robot itself is inaccurate, the estimated position of the robot cannot be high enough. This paper presents an investigation of the self localization error of a robot using Extended Kalman Filter to solve the localization problem with the insufficient landmarks and inaccurate position information.
机译:本文的目的是开发用于协同多个移动机器人的本地化系统,其中假设每个机器人观察一组已知的地标并配备有全向相机。如果只有有限数量的地标,则遭受了法律准确性。在本文中,假设机器人可以通过使用全向相机来检测其他机器人,并知道其本身估计的位置并利用其本地化的位置。换句话说,每个机器人都可以被视为新的移动地标。然而,由于机器人本身估计的位置信息是不准确的,所以机器人的估计位置不能足够高。本文介绍了使用扩展卡尔曼滤波器解决机器人自我定位误差的调查,以解决与地标不足和不准确的位置信息的定位问题。

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