无人驾驶小车定点追踪系统的设计与实现  

Design and Implementation of the Fixed-Point Tracking System on Unmanned Vehicles

作　　者：陈亮亮[1] 刘玉莹[1] 詹春[1] CHEN Liangliang LIU Yuying ZHAN Chun(Jiangxi Science and Technology Normal University,Nanchang 330000,Chin)

机构地区：[1]江西科技师范大学通信与电子学院,江西南昌330000

出　　处：《软件工程》2016年第11期54-56,48,共4页Software Engineering

摘　　要：为了更好的解决无人车定点追踪的问题,本文提出了一种基于OpenCL的图像追踪算法。特定目标物的检测和连续跟踪技术是目前计算机视觉领域的前沿方向和热点研究[1]。本设计是将OpenCV中的CamShift算法移植到DE1-SoC开发板的OpenCL平台上。整个设计分为五个模块:视频模块、音频模块、超声波测距模块、蓝牙音箱驱动模块和算法移植模块。最终小车能够实现定点追踪固定目标物,且在目标物的正前方10cm处停下同时外接蓝牙音箱响起乐曲。In order to solve the problem of unmanned vechicle tracking,this paper proposes an image tracking algorithm based on OpenCL.The detection and continuous tracking of a certain object is the leading direction and hot spot in the field of computer vision.This design is the Cam Shift algorithm in the OpenCV transplanted to the Open CL for DE1-SoC.The whole design is divided into five modules：video module,audio module,ultrasonic distance measuring module,bluetooth speaker driver module and algorithm transplantation module.Finally our car can achieve fixed-point tracking fixed target,and then stop in front of the target 10 cm and at the same time to pick up the bluetooth speaker.

关 键 词：OPENCV 定点追踪 OPENCL 计算机视觉 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]