16-833 Robot Localization and Mapping at Carnegie Mellon University
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)
Refer to individual folders for a description of assignment