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水力发电学报 ›› 2021, Vol. 40 ›› Issue (11): 115-128.doi: 10.11660/slfdxb.20211111

• • 上一篇    

基于SLAM优化的高拱坝施工仿真移动AR可视化

  

  • 出版日期:2021-11-25 发布日期:2021-11-25

Mobile augmented reality visualization of high arch dam construction simulations based on simultaneous localization and mapping optimization

  • Online:2021-11-25 Published:2021-11-25

摘要: 目前基于增强现实(augmented reality,AR)的高拱坝施工仿真可视化研究,存在可视化角度受限及系统集成度差的问题。移动AR具有交互方式多元化的优势,但存在相机注册误差较大的不足。针对上述问题,提出基于同步定位与地图构建(simultaneous localization and mapping,SLAM)优化的高拱坝施工仿真移动AR可视化方法。本文首先基于SLAM根据目标三维-二维成像关系精确计算初始化相机注册参数,并利用ARCore运动追踪实现移动中实时相机注册;同时,结合相机注册结果,将施工仿真虚拟场景与实际场景融合,实现施工仿真移动AR可视化分析。工程应用表明,基于SLAM优化的移动AR施工仿真可视化系统,初始化相机注册精度相比传感器提高了97.6%,移动中相机注册误差平均仅为0.275 m,能够实现多方位的空间决策分析。

关键词: 高拱坝, 施工仿真可视化, 移动AR, 同步定位与地图构建, ARCore

Abstract: At present, simulation visualization methods based on the augmented reality (AR) of high arch dam construction have drawbacks in limited visualization angles and poor system integration. Mobile AR has the advantage of diversified interaction modes but suffers relatively large errors in camera registration. This paper presents a new mobile AR method for visualizing high arch dam construction simulations based on optimization via simultaneous localization and mapping (SLAM). This new visualization system calculates accurately the initial camera registration parameters based on SLAM and the 3D and 2D imaging relationship of the target, and realizes real-time camera registration through ARCore motion tracking. Application to high dam construction shows that it improves the overall accuracy in initial camera registration by 97.6% against the traditional sensor method, and its average error in mobile camera registration is only 0.275 m, thus enabling its success in multi-directional spatial decision analysis.

Key words: high arch dam, construction simulation visualization, mobile AR, SLAM, ARCore

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