UAV route planning for aerial photography under interval uncertainties

摘要: Abstract Aerial photography refers to capturing photographs from the ground through an elevated camera, which is usually not supported by a ground-based structure. Unmanned aerial vehicles (UAVs) have been rapidly developed as platform for collecting such hyper-spatial resolution visual data. Herein, UAV route planning critical issue that influences quality, especially when uncertainties exist in concerned scheme. This work proposes hierarchical optimization framework problems real-world interval scenario are taken into account. Specifically, evaluating candidate flight route, associated with would make quality range (known response); criterion proposed evaluate of all available responses so sort very response satisfactory efficiency and robustness; sorting process carried out using stochastic fractal search algorithm.