Aerial cinematography is significantly expanding the capabilities of film-makers. Recent progress in autonomous unmanned aerial vehicles (UAVs) has further increased the potential impact of aerial cameras, with systems that can safely track actors in unstructured cluttered environments. Professional productions, however, require the use of multiple cameras simultaneously to record different viewpoints of the same scene, which are edited into the final footage either in real time or in post-production. Such extreme motion coordination is particularly hard for unscripted action scenes, which are a common use case of aerial cameras. In this work we develop a real-time multi-UAV coordination system that is capable of recording dynamic targets while maximizing shot diversity and avoiding collisions and mutual visibility between cameras. We validate our approach in multiple cluttered environments of a photo-realistic simulator, and deploy the system using two UAVs in real-world experiments. We show that our coordination scheme has low computational cost and takes only 1.17 ms on average to plan for a team of 3 UAVs over a 10 s time horizon. Supplementary video: https://youtu.be/m2R3anv2ADE
翻译:航空摄影机正在大大扩大电影制片人的能力。在自动无人驾驶飞行器(无人驾驶飞行器)方面最近的进展进一步增加了空中摄像机的潜在影响,其系统能够安全跟踪无结构的混乱环境中的行为者。然而,专业制作需要同时使用多个摄像机记录同一场景的不同观点,这些观点被实时或制作后编辑到最后镜头中。这种极端动作协调对于未说明的动作场景来说特别困难,这些场景是空中摄像头的一个常用案例。在这项工作中,我们开发了一个实时的多无人驾驶飞行器协调系统,能够记录动态目标,同时最大限度地扩大拍摄的多样性,避免相撞和摄像头之间的相互可见性。我们验证了我们在多盘乱环境中采用摄影现实模拟器的方法,并在现实世界实验中使用了两个无人驾驶摄影机。我们显示,我们的协调计划计算成本低,平均只花费1.17米,用于在10个时界上规划3个无人驾驶飞行器的团队。补充视频:https://youtu.be/m2R3an2an2AAS。