This project is part of the Robotics Elements Course from the department of Mechatronics of the University of São Paulo (USP). It contains two sequential sub-projects: (1) an Extended Kalman Filter (EKF) for state estimation of a controller trycycle and (2) FastSlam, a Simultaneous Location and Mapping (SLAM) implementation built on top of the first assignment. The projects are located at the src directory, and were developed by me (Bruno) and Lucas Hattori.
- Extended Kalman Filter
- Particle Filters
- Simultaneous Location and Mapping (SLAM)
- Python 3
- Jupyter
You can check the EKF report and the SLAM report (in Portuguese) for more details on the project.