16-833 Robot Localization and Mapping at Carnegie Mellon University
This is my personal repository for my own future reference, please refer to CMU's academic integrity rules and do not copy any contents.
HW 1:
- Particle Filter & Probabilistic Robotics
HW 2:
- SLAM Using Extended Kalman Filter (EKF)
- Mahalanobis Distance
HW 3:
- Linear and Nonlinear SLAM Solvers
- Exploiting Sparsity
- QR, LU, Cholesky Factorization
- Column Approximate Minimum Degree Ordering Algorithm (COLAMD)
HW 4:
- Dense SLAM with Point-Based Fusion
- Point Cloud Construction Using Iterative Closest Point (ICP)