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A complete approach to the visual localization and mapping problem (SLAM) is presented in this work. The presented approach exploits the enhanced capabilities of a system where a human and a robot collaborate in surveying/exploratory tasks. The human is supposed to wear a smart headwear device, which deploys a inertial measurement unit and a camera, Hv. This camera acts as a secondary sensor, and...
A novel approach to the SLAM problem has been tested in an industrial environment within a robotic assistance context. In order to be fully reliable in non-modelled circumstances where the environment cannot be considered as known a priori, a robot assistant must be able to localize and map its environment. The use of a camera sensor to solve localization has several advantages and weaknesses due...
Cameras have gained a great interest as sensors for the robotic research community, because they yield a lot of information. Cameras are well adapted for embedded systems; they are light, cheap and power saving. As the computational power grows, an inexpensive camera can be used to perform range and appearance-based sensing simultaneously, replacing typical sensors as laser and sonar rings for range...
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