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

机译:基于图像特征分析和全向摄像机图像的机器人导航监控系统设计

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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:视觉传感器对于自主机器人很有吸引力,因为它们可以提供大量的环境信息。障碍物检测是机器人领域的主要任务,基于视觉的工作可提供有效的性能诸如边缘检测技术之类的图像处理可用于使图像更有效,而实现检测过程的方法可提高在室内环境中检测障碍物的性能。全向视觉可提供360度全景效果,以检测机器人后面的障碍物。图像分割用于将环境分割为由GMM在每个区域完成的区域,该方法适用于检测障碍物。图像处理和分类方法用于避开障碍物并导航自主机器人的安全路径。

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