Learning Notebook - David Rostcheck
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What will we learn - Gain an appreciation for what SLAM is and can accomplish - Understand the underlying theory behind SLAM - Understand the terminology and fundamental building blocks of SLAM algorithms - Appreciate the deficiencies of SLAM and SLAM algorithms - Won’t focus on the math, but the concept - Online non-linear feature based SLAM with unknown data association
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Read looking for insight on linearization
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