摘要
设计了一种通过颜色识别技术与超声波测距技术进行目标检测和跟踪的无人机目标跟踪系统。采用Arduino Mega 2560为主控板,利用Pixy2视觉识别传感器模块、超声波模块HC-SR04作为跟踪目标信息采集装置与四旋翼无人机机体共同构成系统的硬件部分。开发了应用视觉识别与超声波信息控制无人机进行自动跟踪的控制程序。实验结果显示,使用Pixy2传感器模块可以识别多种形状和颜色的目标物体,而超声波模块辅助识别增加了系统识别的精准性,无人机可以根据所获得的数据进行目标物体的识别与跟踪,具有较好的智能性、实时性和准确性,实现了无人机准确识别、锁定被测物体的位置,并控制机体进行自主移动跟踪。
A UAV target tracking system based on color recognition technology and ultrasonic ranging technology was designed.Arduino Mega 2560 was used as the main control board,Pixy2 vision recognition sensor module and ultrasonic module HC-SR04 were used as tracking target information acquisition device.The hardware part of the system was composed of quadrotor UAV.A control program for automatic tracking of UAV using visual recognition and ultrasonic information was developed.The experimental results show that the Pixy2 sensor module can identify a variety of shapes and colors of the target object,while the ultrasonic module assisted recognition increases the accuracy of the system recognition.The UAV can recognize and track the target object according to the obtained data,which has good intelligence,real-time and accuracy,and realizes the accurate recognition and locking of the measured object position,and control the body for autonomous movement tracking.
作者
成海秀
陈河源
曹惠茹
徐欣桐
黄畅
Cheng Haixiu;Chen Heyuan;Cao Huiru;Xu Xintong;Huang Chang(School of Electrical and Computer Engineering,Nanfang College of Sun Yat-sen University,Guangzhou 510970,China;Department of Information Engineering,Guangzhou Institute of Technology,Guangzhou 510075,China)
出处
《机电工程技术》
2020年第11期165-167,共3页
Mechanical & Electrical Engineering Technology
基金
大学生创新创业训练计划项目(编号:S201912619036)。
