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Simultaneous Localization and Mapping (SLAM) program

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Simultaneous Localization and Mapping (SLAM) with graph-based optimization

Input: detected april tag corners in the frames of a video sequence, real tag size and calibration matrix Task: calculate the 3D locations of the april tags and the pose (position and orientation) of the camera at each frame in the world coordinates Optimization: Pose Graph Optimization using GTSAM toolbox

Sample output(The rectangle blocks are the tags in world coordinates. The red path indicates the pose of camera at each frame):

For full report: project 4 report.pdf

To run:

  1. Open the folder in Matlab and select gtsam_toolbox > Add to Path > Selected Folders
  2. Run Wrapper.m

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Simultaneous Localization and Mapping (SLAM) program

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