首页> 外文会议>International technical meeting of the Satellite Division of the Institute of Navigation;ION GNSS 2011 >Coupling Vanishing Point Tracking with Inertial Navigation to Produce Drift-Free Attitude Estimates in a Structured Environment
【24h】

Coupling Vanishing Point Tracking with Inertial Navigation to Produce Drift-Free Attitude Estimates in a Structured Environment

机译:将消失点跟踪与惯性导航耦合以在结构化环境中产生无漂移的姿态估计

获取原文
获取原文并翻译 | 示例

摘要

The Air Force’s need for accurate navigation informa-rntion is often met through the combination of inertialrnand satellite navigation systems. However, the increasedrnuse of smaller and smaller unmanned aerialrnsystems opens the possibility of flight in environmentsrnwhere satellite navigation signals are eitherrnsignificantly degraded or unavailable entirely, suchrnas indoors and in dense urban areas. Fortunately, thernintrinsic structure of man-made environments can bernexploited to aid in determining a vehicle’s attitudernwhen satellite signals are unavailable.rnThis research aims to obtain accurate and stable estimatesrnof a vehicle’s attitude by coupling consumergraderninertial and optical sensors. This goal is pursuedrnby first modeling both inertial and optical sensorsrnand then developing a technique for identifyingrnvanishing points in perspective images of a structuredrnenvironment. The inertial and optical processesrnare then coupled to enable each one to aid thernother. The vanishing point measurements are combinedrnwith the inertial data in an extended Kalmanrnfilter to produce overall attitude estimates. This techniquernis experimentally demonstrated in an indoorrncorridor setting using a motion profile designed tornsimulate flight. Through comparison with a tacticalgraderninertial sensor, the combined consumer-graderninertial and optical data are shown to produce an attitudernsolution that is accurate to within 1.5 degreesrnand free of long-term drift. A measurement bias isrnmanifested which degrades the accuracy by up to anotherrn2.5 degrees.
机译:通过结合惯性导航系统和卫星导航系统,通常可以满足空军对精确导航信息的需求。但是,越来越少的无人驾驶航空系统的使用增加了在卫星导航信号严重退化或完全不可用的环境中飞行的可能性,例如在室内和密集城市地区。幸运的是,当卫星信号不可用时,可以利用人造环境的固有结构来帮助确定车辆的姿态。这项研究旨在通过结合消费级惯性和光学传感器来获得准确,稳定的姿态估计。为此,首先要对惯性传感器和光学传感器进行建模,然后开发一种在结构化环境的透视图中识别消失点的技术。然后将惯性和光学过程耦合在一起,以使每一个都可以帮助其他人。消失点测量值与扩展卡尔曼滤波器中的惯性数据相结合,以产生总体姿态估计值。该技术在室内走廊环境中使用设计为模拟飞行的运动轮廓进行了实验证明。通过与战术梯度惯性传感器进行比较,显示出结合的消费者梯度惯性和光学数据可产生精确至1.5度以内且无长期漂移的姿态解。表现出测量偏差,其将精度降低多达另一个2.5度。

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