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Tutorials & Reviews

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SLAM book by Xiang Gao 

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Methods for Non-Linear Least Squares Problems - K. Madsen, H.B. Nielsen, O. Tingleff

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Robust Estimation and Applications in Robotics - Michael Bosse, Gabriel Agamennoni, Igor Gilitschenski

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Factor graphs for robot perception - Frank Dellaert, Michael Kaess

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Global Optimization for Geometric Understanding with Provable Guarantees - ICCV 2019

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Gaussian Process, not quite for dummies  - Yuge Shi

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A Review of Point Cloud Registration Algorithms for Mobile Robotics - François Pomerleau, Francis Colas, Roland Siegwart

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Lecture Notes

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Depth-image processing and point-cloud processing - Radu Horaud

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Linear Algebra Lectures - Gilbert Strang

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Linear Algebra Review  and Reference -  Zico Kolter (updated by Chuong Do and Tengyu Ma)

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Probabilistic Graphical Models (CS 228)

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Machine Learning (CS 229), Shervine Amidi cheat sheets, MIT Data Science tools

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