Integrating Monocular Vision and Odometry for SLAM
نویسنده
چکیده
This paper presents an approach to Simultaneous Localization and Mapping (SLAM) based on monocular vision. Standard multiple-view vision techniques are used to estimate robot motion and scene structure, which are then integrated with minimal odometric information and used to build a global environment map. Preliminary experimental results are also presented and discussed. Key-Words: Robot localisation, Mapping, Monocular vision, SLAM
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