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

Abstract

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.