论文标题

无人机摄影的模拟环境

A simulation environment for drone cinematography

论文作者

Zhang, Fan, Hall, David, Xu, Tao, Boyle, Stephen, Bull, David

论文摘要

在本文中,我们提出了一个工作流程,以模拟无人机操作,利用虚幻引擎4(UE4)中构建的现实背景环境。呈现环境图像捕获的方法,3D重建(摄影测量法)和前景资产的创建方法以及灵活且用户友好的仿真接口。考虑到所选区域的地理位置和所采用的摄像头参数,首先确定扫描策略及其相关的飞行参数以捕获图像。可以从虚拟地球软件中提取源图像,也可以通过现场的航空摄影获得(例如使用无人机)获得。后一种情况显然更耗时,但可以提供增强的细节,尤其是在覆盖虚拟环球软件有限的情况下。然后使用捕获的图像用于使用摄影测量软件生成3D背景环境模型。然后将重建的3D模型作为背景环境资产与适当的前景对象模型一起导入到仿真接口中,作为射击计划和排练的基础。该工具支持自由飞行和可参数标准射击类型,以及与前景资产和事件动态相关的可编程方案。它还支持飞行计划的出口。相机镜头还可以设计为可以在需要射击的任何地标提供适当的覆盖范围内。该仿真工具将有助于提高生产率,提高安全性(对人群和建筑物的意识和缓解),改善运营商和董事的信心,并最终提高了观众体验的质量。

In this paper, we present a workflow for the simulation of drone operations exploiting realistic background environments constructed within Unreal Engine 4 (UE4). Methods for environmental image capture, 3D reconstruction (photogrammetry) and the creation of foreground assets are presented along with a flexible and user-friendly simulation interface. Given the geographical location of the selected area and the camera parameters employed, the scanning strategy and its associated flight parameters are first determined for image capture. Source imagery can be extracted from virtual globe software or obtained through aerial photography of the scene (e.g. using drones). The latter case is clearly more time consuming but can provide enhanced detail, particularly where coverage of virtual globe software is limited. The captured images are then used to generate 3D background environment models employing photogrammetry software. The reconstructed 3D models are then imported into the simulation interface as background environment assets together with appropriate foreground object models as a basis for shot planning and rehearsal. The tool supports both free-flight and parameterisable standard shot types along with programmable scenarios associated with foreground assets and event dynamics. It also supports the exporting of flight plans. Camera shots can also be designed to provide suitable coverage of any landmarks which need to appear in-shot. This simulation tool will contribute to enhanced productivity, improved safety (awareness and mitigations for crowds and buildings), improved confidence of operators and directors and ultimately enhanced quality of viewer experience.

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