首页> 外文会议>International Conference for Convergence of Technology >Design of robot navigation monitoring system using image feature analysis and omnidirectional camera images
【24h】

Design of robot navigation monitoring system using image feature analysis and omnidirectional camera images

机译:使用图像特征分析和全向相机图像设计机器人导航监控系统

获取原文

摘要

Vision sensors are attractive for autonomous robots because they give huge source of environment information. Obstacle detection is main task in areas of the robotics, vision based works gives the effective performance Image processing such as edge detection techniques are used to make images more effective and methods to implement detection process for increasing the performance of detecting obstacles in indoor environment. Omni directional vision gives panoramic view that has benefit of 360 degree so as to detect obstacles behind robot. Image Segmentation is used to segment the environment into regions done by GMM on each region the method is applied for detecting the obstacles. Image processing and classification methods are used to avoid obstacles and navigate the Safe path for autonomous robots.
机译:视觉传感器对自治机器人具有吸引力,因为它们提供了巨大的环境信息来源。障碍物检测是机器人的领域的主要任务,基于视觉的作品使得诸如边缘检测技术的有效性能图像处理,用于使图像更有效和实现检测过程,以提高检测室内环境中的障碍物的性能。 Omni定向视觉提供了有利于360度的全景视图,以便检测机器人背后的障碍。图像分割用于将环境划分为GMM在每个区域上的GMM在应用程序用于检测障碍物的区域上。图像处理和分类方法用于避免障碍物并导航自主机器人的安全路径。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号