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Laser-aided Navigation with Loop Closure Capabilities for Micro Aerial Vehicles in Indoor and Urban Environments

机译:激光辅助导航和室内和城市环境中的微型航空车辆环路闭合能力

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This paper presents a laser-aided navigation system for Micro Aerial Vehicles. It is based on a Kalman filter so that GNSS measurements can be incorporated if available. For GNSS-denied areas, the Kalman filter also processes relative pose measurements extracted from laser data. A novel approach for laser-aided Kalman filter navigation is presented which allows using multiple reference scans simultaneously. Furthermore, an addition to avoid growth of the heading angle error is described. Because this Kalman filter based system is a relative navigation system, its position error grows with time. To avoid such an error growth in GNSS denied environments, the Kalman filter is augmented with loop closure detection. A technique is proposed to represent such information in a pose graph and to calculate an improved navigation solution including an error covariance based on covariance intersection. The successful operation of the presented system is validated in several experiments including real flight data, large loops and an outdoor-indoor-outdoor transition.
机译:本文介绍了用于微型航空车的激光辅助导航系统。它基于卡尔曼滤波器,从而可以在可用时结合GNSS测量。对于GNSS拒绝区域,卡尔曼滤波器还处理从激光数据中提取的相对姿势测量。提出了一种用于激光辅助卡尔曼滤波器导航的新方法,其允许同时使用多个参考扫描。此外,描述了避免出头角度误差的增长的补充。因为基于卡尔曼滤波器的系统是一个相对导航系统,所以它的位置误差随时间而增长。为避免在GNSS拒绝环境中的这种错误增长,卡尔曼滤波器以循环闭合检测增强。提出了一种技术来表示姿势图中的这种信息,并计算基于协方差交叉的误差协方差的改进的导航解决方案。呈现系统的成功操作在几个实验中验证,包括真正的飞行数据,大环和室外室外过渡。

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