1. 基于图像识别的“无人机遥感概论”教学实验平台设计.
- Author
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李玉霞, 何磊, and 徐永鑫
- Abstract
Based on the teaching contents of unmanned aerial vehicle ( UAV) High t control and image processing in unmanned aerial vehicle remote sensing course, the paper designed and built a four rotor UAV teaching experimental platform based on photoelectric image processing. In order to achieve the autonomous Bight control of the quadrotor, an autonomous flight control hardware platform is designed in which a self-assembly aircraft is used as the body frame based on image processing and recognition. The main on-board sensor is attitude sensor MPU6050 and camera OV7725. An ARM microcontroller is used to construct the main control chip, R5F100LEA series chip is used as assistant chip. Based on the nonlinear dynamic model of the quadrotor, a single-loop P1D control algorithm and image processing and recognition are designed, this design realizes the self-assembly aircraft system which can fulfill specific task. Experimental results show that the on-board control system has achieved good flight performance and we finish the following task like following the line, picking and searching specific things with the corporation of two chips. [ABSTRACT FROM AUTHOR]
- Published
- 2018