by Michael Gobble and Gael Colas, graduate students at Stanford University.
This repository gathers our final project for AA273: "State Estimation" class at Stanford (2019). Our teacher was Pr. Mac Schwager.
Goal: Extended Kalman Filter for non-holonomic robot Simultaneous Localization and Mapping with Unknown Measurement Noise
Language: MatLab
More details about the project and the results can be found in the report located at the root: "aa273_final-report.pdf".