首页> 外文会议>IEEE International Conference on Robotics and Automation >Cooperative relative positioning of mobile users by fusing IMU inertial and UWB ranging information
【24h】

Cooperative relative positioning of mobile users by fusing IMU inertial and UWB ranging information

机译:通过融合IMU惯性和UWB测距信息来对移动用户进行协作相对定位

获取原文

摘要

Relative positioning between multiple mobile users is essential for many applications, such as search and rescue in disaster areas or human social interaction. Inertial-measurement unit (IMU) is promising to determine the change of position over short periods of time, but it is very sensitive to error accumulation over long term run. By equipping the mobile users with ranging unit, e.g. ultra-wideband (UWB), it is possible to achieve accurate relative positioning by trilateration-based approaches. As compared to vision or laser-based sensors, the UWB does not need to be with in line-of-sight and provides accurate distance estimation. However, UWB does not provide any bearing information and the communication range is limited, thus UWB alone cannot determine the user location without any ambiguity. In this paper, we propose an approach to combine IMU inertial and UWB ranging measurement for relative positioning between multiple mobile users without the knowledge of the infrastructure. We incorporate the UWB and the IMU measurement into a probabilistic-based framework, which allows to cooperatively position a group of mobile users and recover from positioning failures. We have conducted extensive experiments to demonstrate the benefits of incorporating IMU inertial and UWB ranging measurements.
机译:多个移动用户之间的相对定位对于许多应用是必不可少的,例如在灾区或人类社交互动中搜索和拯救。惯性测量单元(IMU)很有希望确定短时间内位置的变化,但对长期运行的误差累积非常敏感。通过用测距单元配备移动用户,例如,超宽带(UWB),可以通过基于三边的方法实现准确的相对定位。与视觉或激光的传感器相比,UWB不需要在视线中并提供精确的距离估计。然而,UWB不提供任何轴承信息,并且通信范围是有限的,因此单独的UWB不能在没有任何歧义的情况下确定用户位置。在本文中,我们提出了一种方法来结合IMU惯性和UWB测量测量的方法,以便在没有基础设施的知识的情况下对多个移动用户之间的相对定位。我们将UWB和IMU测量纳入了基于概率的框架,这允许协同地定位一组移动用户并从定位失败中恢复。我们已经进行了广泛的实验,以证明掺入IMU惯性和UWB测量的益处。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号