摘要
为解决人们日常出行时因行李过多过重而导致行进不方便的问题,提出基于UWB定位和OpenMV识别的智能跟随行李箱设计方案。设计以STM32F429单片机作为控制核心,采用UWB定位模块、OpenMV机器视觉模块、无线通信模块、超声波避障模块等做外设,通过OpenMV摄像头拍摄图像并结合机器视觉算法对图片信息进行处理以此识别行李箱使用者,以PID算法调控行李箱的跟随速度与滚轮的转向助力,使用UWB定位技术实时监测行李箱的位置。样机测试结果表明:系统能实现自动跟随、实时定位与通信以及避障等功能,达到了“释放双手”的目的。
In order to solve the problem of the inconvenience caused by the excessive luggage during daily travel,the design scheme of intelligent following luggage based on UWB positioning and OpenMV recognition was proposed in this paper.It is designed with STM32F429 microcontroller as the control core,and the UWB positioning module,OpenMV machine vision module,wireless communication module,ultrasonic obstacle avoidance module,etc.are used as peripherals.The image is captured by the OpenMV camera and the machine vision algorithm is used to process the picture information to identify the luggage user.The PID algorithm is used to control the following speed of the luggage and the steering power of the roller.The UWB positioning technology is used to monitor the position of the luggage in real-time.The test results show that the system can realize the functions of automatic following,real-time positioning,communication,and obstacle avoidance,and achieves the purpose of“release hands”.
作者
叶思言
张永宁
李锦
张炼科
周玉
郑美芳
张松
YE Siyan;ZHANG Yongning;LI Jin;ZHANG Lianke;ZHOU Yu;ZHENG Meifang;ZHANG Song(School of Network & Communication Engineering, Chengdu Technological University, Chengdu 611730, China)
出处
《成都工业学院学报》
2020年第3期29-33,共5页
Journal of Chengdu Technological University
基金
四川省教育厅重点项目(16ZA0338/18ZA0022)
大学生创新创业训练项目(201811116037/S201911116048)。
