Simultaneous Localization and Mapping (SLAM)

Simultaneous Localization and Mapping (SLAM)

###Description In this project, a 3D map is constructed simultaneously through estimated camera positions from RGB-Depth data. The feature techniques we used here is SURF feature extraction, perspective-n-point camera pose estimation, and iterative closest point. Implementation in C++ with OpenCV and Point Cloud Library. For more information, please refer to the report and demo video below. ###Check out the demo video


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