2023年电赛综合测评-运动目标控制与自动追踪系统

上传者: m0_51061483 | 上传时间: 2025-11-04 14:19:43 | 文件大小: 6.34MB | 文件类型: ZIP
2023年电赛综合测评聚焦于运动目标控制与自动追踪系统,这是一项技术性极强的赛事,主要考查参赛者在嵌入式系统设计、图像处理、控制算法等方面的知识和实践能力。电赛,全称为全国大学生电子设计竞赛,是一项面向高校学生的科技创新活动,旨在通过实际的工程问题来锻炼学生的工程实践能力和团队协作能力。 运动目标控制与自动追踪系统是电赛中一个较为复杂的应用题目,它要求参赛队伍不仅要解决目标检测和跟踪问题,还要考虑如何通过电机、舵机等执行机构实现对运动目标的准确控制。这类系统广泛应用于机器人、监控、无人机等领域,具有极高的实用价值和研究意义。 在实际开发这样的系统时,首先需要确定目标检测的方法。常见的目标检测技术包括但不限于图像分割、背景减除、边缘检测、特征匹配等。在选定目标检测技术后,还需要设计一套有效的跟踪算法来持续锁定目标。例如,可以采用卡尔曼滤波器、粒子滤波器或基于深度学习的目标跟踪模型等。 接着,控制系统的设计与实现也是一大挑战。控制系统需要根据目标的动态特性,实时地计算并输出控制信号,驱动电机或舵机等执行元件,完成对目标的精确追踪。这里常常会用到PID控制算法,因为它简单且易于实现,能够根据系统误差动态调整控制量,达到快速稳定跟踪的目的。 在本赛事的题目中,参赛者需要设计并实现一套运动目标控制系统。从给出的文件名称列表可以看出,参赛者可能使用了OpenMV这个开源视觉模块来处理图像数据,以及STM32F103C8T6这种广泛使用的32位ARM微控制器来执行控制算法。OpenMV是专为机器视觉应用设计的,拥有简洁易用的Python编程接口,适合快速原型开发。而STM32F103C8T6则以其高性能和高可靠性,在工业控制领域有着广泛的应用。 结合文件名称中的“单独openmv舵机”、“追小球的云台带pid”、“Openmv➕Stm32f103c8t6”,可以推断出参赛者在项目中可能采取了以下步骤:使用OpenMV进行图像处理和目标检测;然后,将处理后的数据传输至STM32微控制器,微控制器基于这些数据执行PID控制算法驱动舵机或云台来追踪目标;确保整个系统的稳定运行和精确控制。 此外,从“追小球”的描述可以进一步推测,目标可能是球形物体,这在机器视觉中相对容易检测和跟踪,因为其特征明显,容易从背景中区分出来。当然,这个假设还需要依据具体的项目需求和环境因素进行调整。 对于参赛者而言,除了技术实现外,还需要考虑系统的整体布局,包括硬件选型、电路设计、算法优化、调试过程等,这些都是电赛考核的重要内容。 电赛综合测评中的运动目标控制与自动追踪系统是一个涉及多学科交叉的项目,不仅考验参赛者的理论知识和编程能力,还考验他们解决实际问题的能力和创新意识。通过这样的竞赛,学生能够在实践中深入理解并应用现代控制技术和计算机视觉理论,为将来的科研或工程工作打下坚实的基础。

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