中原工学院学报

近年来，大学生电子竞赛开始从智能车领域向无人机领域进军，出现诸如无人机寻迹、目标追踪等创新赛题。以大学生电子竞赛中的四轴无人机自动追踪系统为核心，自主设计了一种以STM32为主控的智能飞行控制系统。该系统将人工智能技术融入无人机控制，采用OpenMV摄像头进行视觉识别，通过Python编程在LAB颜色空间下设定目标颜色阈值，实现对特定颜色物体的精准识别与自主追踪。凭借无人机三维空间灵活性的优势，无人机系统为大学生电子竞赛提供多元创新切入点与高价值技术挑战场景，更为自动搜救领域提供重要技术支撑。

In recent years, the electronic competitions of university students begin to march from the intelligent vehicles to the unmanned aerial vehicles(UAVs), such as UAV path following and target tracking. Focusing on the four-axis UAV automatic tracking system in university student electronic competitions, an intelligent flight control system based on STM32 as the main controller has been independently designed. This system integrates artificial intelligence(AI) technology into UAV control,adopts the OpenMV camera for visual recognition, and sets the target color threshold in the vehicle LAB color space through Python programming to achieve accurate identification and autonomous tracking of objects with specific colors. Endowed with the unique advantage of three-dimensional space,unmanned aerial vehicle(UAV) systems not only provide diverse innovative entry points and high-value technical challenge scenarios for college student electronic competitions,but also serve as an important technical support for the field of automatic search and rescue.