基于视觉/GNSS混合的鲁棒姿态估计

P. Patias, V. Tsioukas, C. Pikridas, Fotis Patonis, C. Georgiadis
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引用次数: 3

摘要

目前的论文涉及使用一种新型系统,该系统利用集成在单一平台上的多个传感器(全球导航卫星系统(gnss)、惯性测量单元(imu)和数字成像传感器(DIS)),可视化并提供城市地下基础设施网络(电力、水、区域供热、灌溉、污水和通信网络)的增强图像,以帮助更好地管理和维护。从理论上讲,配备GNSS和IMU传感器的特殊平板电脑能够提供嵌入系统的相机的位置(X, Y, Z)和姿态(ω,φ,κ)的精确信息。镜头中心的偏移量(来自GNSS天线)和相机坐标系的旋转可以通过系统校准程序确定,因此可以确定从数字成像传感器拍摄的图像的姿态估计参数。在3D GIS可用的情况下,即绘制除城市道路,人行道和建筑物以外的地下设施网络,由集成GNSS和IMU传感器的系统的摄像机获得的图像可以提供设施网络的增强图像。该图像将用于更好地管理和维护城市的地下特征。由于卫星隐身和多路径误差,GNSS系统在市中心运行时总是存在无法正常工作的可能性。此外,嵌入IMU的磁力计容易受到环境噪声和干扰,产生错误的结果。在这种情况下,使用两种替代方法来确定相机的确切外部方向:•常规摄影测量姿态估计•消失线姿态估计所有方法都在系统中可用,并且根据GNSS信号质量和控制条件的充分性,用户可以从一种方法切换到另一种方法。
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Robust pose estimation through visual/GNSS mixing
The current paper is dealing with the use of a novel system that takes advantage of several sensors (Global Navigation Satellite System-GNSS, Inertial Measurement Units-IMU and Digital Imaging Sensors — DIS) that are integrated on a single platform to visualize and provide augmented pictures of underground infrastructure networks (electricity, water, district heating, irrigation, sewerage and communication networks) in a city to help their better management and maintenance. A special tablet equipped with GNSS and IMU sensors theoretically is able to give precise information of the position (X, Y, Z) and attitude (ω,φ,κ) of the camera embedded on the system. The offset (from the GNSS antenna) of the centre of the lens and the rotation of the camera coordinate system can be determined through a system calibration procedure therefore the pose estimation parameters of the image taken from the Digital Imaging Sensor can be determined. In the case where the 3D GIS is available, that is mapping except from the city's roads, pavements and buildings the underground facilities networks, the image obtained by the camera of the system integrating the GNSS and IMU sensors can provide an augmented image of the facilities networks. This image will then be used for better management and maintenance purposes of the underground features in the city. There is always the possibility that the GNSS system is not working properly due to satellite invisibility and multi path error which is common during its operation in the city centre. Additionally, the magnetometer embedded in IMU is prone to environmental noise and interference and produces erroneous results. In this case two alternative methods are used to determine the exact exterior orientation of the camera: •conventional photogrammetric pose estimation •vanishing lines pose estimation All the methods are available in the system and depending on the GNSS signal quality and the adequacy of the control conditions the user can switch from one method to the others.
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