摘要
开发了一种基于STM32视觉导航的目标跟随小车智能控制系统,实现了对特定目标物体的快速识别与实时准确跟随。使用OV7670图像传感器采集目标物图像信息,对图像进行灰度化、降噪、取反等处理后,通过亚像元定位技术的质心法获取目标物坐标位置,为智能车提供方向导航,跟随过程中的画面实时发送至上位机。结果表明:小车在直行和转向跟踪实验中表现良好,跟随系统具有良好的跟踪效果,可实现对目标物的实时准确跟随。
An intelligent tracking-vehicle control system based on STM32 is developed to achieve quick identification and accurate tracking of specific target in real-time. Acquire image information of target using OV7670 after graying,de-noising and reverse processing the image,obtain target coordinates by the centroid subpixel positioning technology to provide direction navigation for intelligent vehicle,and picture of target can be sent to host computer during tracking process. The experimental result shows that the system has a good tracking effect and can achieve real-time accurate and tracking of target.
出处
《传感器与微系统》
CSCD
2017年第8期75-77,81,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(11372122)
关键词
STM32
质心法
目标识别与跟踪
智能车
STM32
centroid
target recognition and tracking
intelligent vehicle