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We present a behavioral approach for autonomous robotic exploration of marine habitat with collision avoidance given little or no prior information. In our previous work, a vision-based reactive navigation paradigm with a predefined forward direction allowed an underwater robot to avoid unexpected obstacles. In this work, we have now incorporated visual perceptive invariants to guide the navigation...
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 have developed a browsing tool for visualizing information about geographic surfaces using map-based augmented reality (AR). Map-based AR technology enables virtual objects to be overlaid on an actual map, creating a tangible user interface. In map-based AR applications, a virtual lens pointer is often used for object selection. However, this type of interaction is difficult when there are many...
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