江汉大学学报(自然科学版) ›› 2020, Vol. 48 ›› Issue (2): 65-76.doi: 10.16389/j.cnki.cn42-1737/n.2020.02.011

• 自动化控制 • 上一篇    下一篇

基于高尔夫球目标识别与收集的智能小车

轩亮,杨轩,叶志雄   

  1. 江汉大学 机电与建筑工程学院,湖北 武汉 430056
  • 发布日期:2020-04-22
  • 作者简介:轩亮(1986— ),男,副教授,博士,研究方向:机器人与医疗康复器械。
  • 基金资助:
    全国大学生创新创业训练项目(20181107201);江汉大学教学改革项目(2018x09)

Intelligent Car Based on Golf Target Recognition and Collection

XUAN Liang, YANG Xuan, YE Zhixiong   

  1. School of Electromechanical and Architectural Engineering, Jianghan University, Wuhan 430056, Hubei, China
  • Published:2020-04-22

摘要: 针对智能小车在复杂地形环境下对高尔夫球进行目标识别,设计了一种目标识别追踪和避障一体的测控系统。系统以STM32f103 单片机为控制核心,以直流减速电机作为驱动的动力源来实现对小车速度和方向的准确控制,使用摄像头OV7620 来检测目标物,在避障时使用由超声波传感器和红外传感器组成的避障模块进行避障,能够实现避开障碍物功能。通过对样机进行测试,结果表明,搭载该系统的小车能够在识别准确率为85% 和避障通过率为80% 的条件下,在成功追踪到目标物体 的同时,对多种复杂的障碍物成功实现快速避障。

关键词: 识别避障, 四轮驱动, 控制系统, 智能小车, 高尔夫球

Abstract: Aiming at the intelligent car′s target recognition and obstacle avoidance ability in complex terrain environment, a measurement and control system integrating target recognition, tracking and obstacle avoidance was proposed. The system used STM32f103 single chip microcomputer as the control core and DC deceleration motor as the power source to control the speed and direction of the car accurately. The camera OV7620 was used to detect the object. The obstacle avoidance module was composed of ultrasonic sensor and infrared sensor for avoiding obstacles. The collision between the car and obstacles could be effectively avoided and obstacles could be avoided. Through testing the prototype, the experimental results showed that the car carrying the system could successfully track the target object with the recognition accuracy of 85% and obstacle avoidance passing rate of 80%. At the same time, the car could successfully avoid many complex obstacles, which proves that the system has good stability, strong antiinterference, and can better solve the problem of target recognition and obstacle avoidance of intelligent car in complex environment.

Key words: obstacle identification and avoidance, four-wheel drive, control system, intelligent car, golf

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