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Visual navigation is an important research field in robotics due to low cost of cameras and the good results that these systems usually achieve. This paper presents monocular and stereo vision-based detection methods. The obstacles are detected and fused through the Dempster-Shafer theory for generating a cloud of points that contains the probability of the existence of obstacles in the environment...
We address the problem of vehicle (mobile robot) navigation by combining visual-based reconstruction and localization with metrical information given by the proprioceptive sensors such as the odometry sensor. The proposed approach extends the navigation system based on a monocular vision which is able to build a map and localize the vehicle in the real time way using only one camera. An extended Kalman...
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