Research on Dynamic Path Exploration and Planning Method of Quadrotor Unmanned Aerial Vehicle in Complex Environment

As a research hotspot in the field of mobile robots recent years, UAV(Unmanned Aerial Vehicle) has been improving its autonomous performance. Compared with traditional UAV, UAV many advantages, such as vertical lifting, strong maneuverability and convenient operation. However, dynamic path planning quadrotor typical ability robot, always focus UAV. In this regard, paper will try to study exploration method complex environment. environment model, comparative simulation from aspects calculation time, complexity success rate shows that selection high-order polynomials can ensure continuity, but it also increase time complexity. CF algorithm, is 57% lower on average 17.6% higher average, which algorithm more suitable for online flight quadrotor. Comparatively speaking, other two methods decreases environmental complexity, overall longer.