摘要
文中主要研究移动机器人在环境未知情况下的障碍物检测问题,提出了一种基于Matlab和VC++混合编程的障碍物检测系统软件实现方法。该方法整合了MATLAB的数值计算功能,具有强大的图形、图像处理功能和VC++的可视化、执行速度快、易维护升级等特点。实验结果表明,这种检测方法在障碍物检测系统的开发过程中可以大大提高编程效率,并缩短软件的开发周期。
The problem of obstacle detection for mobile robot in unknown environment is studied.It proposed a method of combining image segmentation and stereo vision to detect obstacle,which can reduce the complexity of detection algorithm and detect the location and distance information of obstacle quickly.Detection system software based on hybrid programming between Matlab and VC＋＋ is proposed,that combined image processing functions of Matlab and visualization of VC＋＋.Experimental results demonstrate that the programming efficiency is improved and the software development cycle is shortened in developing of obstacle detection system software.
出处
《电子元器件应用》
2011年第2期35-37,40,共4页
Electronic Component & Device Applications
