Linear-and-Nonlinear-SLAM-Solvers. SLAM as Least-Square Problems. Uses LU, QR and Pseudo Inverse with sparse matrix techniques to get the optimization

Problem

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Audience

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Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.