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# Node for pose graph optimization.
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# Multithreaded Node for pose graph optimization.
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This node actually builds up the graph of poses incrementally using odometry edges and loopclosure edges.
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This node actually builds up the graph of poses incrementally using odometry edges (from VIO like [VINS-fusion](https://github.com/HKUST-Aerial-Robotics/VINS-Fusion) ) and loopclosure edges (from place recognition node like [cerebro](https://github.com/mpkuse/cerebro) ).
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It also can handle kidnap and random failure. This is accomplished by keeping track of multiple
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co-ordinate systems and relative poses between the co-ordinate system. Finally whenever new loopclosure
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edges are available, the pose graph is solved. The switching constraint formulation
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