Abstract An unmanned aerial vehicle (UAV) is a small, fast aircraft with many useful features. It is widely used in military reconnaissance, aerial photography, searches, and other fields; it also has very good practical-application and development prospects. Since the UAV’s flight orientation is easily changeable, its orientation and flight path are difficult to control, leading to its high damage rate. Therefore, UAV flight-control technology has become the focus of attention. This study focuses on simulating a UAV’s flight and orientation control, and detecting collisions between a UAV and objects in a complex virtual environment. The proportional-integral-derivative control algorithm is used to control the orientation and position of the UAV in a virtual environment. A version of the bounding-box method that combines a grid with a k-dimensional tree is adopted in this paper, to improve the system performance and accelerate the collision-detection process. This provides a practical method for future studies on UAV flight position and orientation control, collision detection, etc.
Simulating unmanned aerial vehicle flight control and collision detection
Visual Computing for Industry, Biomedicine, and Art ; 2 , 1 ; 1-7
2019-06-21
7 pages
Article (Journal)
Electronic Resource
English
Unmanned aerial vehicle , Proportional-integral-derivative control algorithm , Orientation control , Position control , Grid , k-dimensional tree , Collision detection Computer Science , Computer Graphics , Computer-Aided Engineering (CAD, CAE) and Design , Computer Imaging, Vision, Pattern Recognition and Graphics , Image Processing and Computer Vision , Media Design
Unmanned aerial vehicle with flight anti-collision structure
European Patent Office | 2023
|