Harvey Richard J, Roskilly Kyle, Buse Chris, Evans Hannah K, Hubel Tatjana Y, Wilson Alan M
Structure & Motion Laboratory, The Royal Veterinary College, University of London, Hatfield AL9 7TA, UK.
Structure & Motion Laboratory, The Royal Veterinary College, University of London, Hatfield AL9 7TA, UK
J Exp Biol. 2016 Sep 1;219(Pt 17):2687-92. doi: 10.1242/jeb.139022. Epub 2016 Jun 27.
Unmanned aerial systems (UASs), frequently referred to as 'drones', have become more common and affordable and are a promising tool for collecting data on free-ranging wild animals. We used a Phantom-2 UAS equipped with a gimbal-mounted camera to estimate position, velocity and acceleration of a subject on the ground moving through a grid of GPS surveyed ground control points (area ∼1200 m(2)). We validated the accuracy of the system against a dual frequency survey grade GPS system attached to the subject. When compared with GPS survey data, the estimations of position, velocity and acceleration had a root mean square error of 0.13 m, 0.11 m s(-1) and 2.31 m s(-2), respectively. The system can be used to collect locomotion and localisation data on multiple free-ranging animals simultaneously. It does not require specialist skills to operate, is easily transported to field locations, and is rapidly and easily deployed. It is therefore a useful addition to the range of methods available for field data collection on free-ranging animal locomotion.
无人航空系统（UASs），通常被称为“无人机”，已变得越来越普遍且价格亲民，是收集自由放养野生动物数据的一种很有前景的工具。我们使用了一架配备了万向节安装摄像头的幻影2型无人机，通过一组经全球定位系统（GPS）测量的地面控制点网格（面积约1200平方米）来估算地面上一个物体的位置、速度和加速度。我们使用附着在该物体上的双频测量级GPS系统对该系统的准确性进行了验证。与GPS测量数据相比，位置、速度和加速度的估计值的均方根误差分别为0.13米、0.11米/秒和2.31米/秒²。该系统可用于同时收集多只自由放养动物的运动和定位数据。它不需要专业技能来操作，便于运输到野外地点，并且能够快速且轻松地部署。因此，它是可用于收集自由放养动物运动野外数据的一系列方法中的一个有用补充。
