基于隐马尔可夫模型的自定位算法matlab代码.zip

# Estimation and Classification Project ## Description This project was developed in the context of the Estimation and Classification course and implements self-localization of a robot on a grid map using a Hidden Markov Model (HMM). The HMM is a probabilistic model that allows the robot to estimate its position based on sensor measurements and the previous position. ## Installation Clone the repository: ```bash git clone https://github.com/GilSerrano/hmm_localization.git ``` Alternatively, you can download the code as a zipped folder. ## Usage 1. Open the MATLAB editor. 2. Open the `hmm_main.m` file and click on Run or use the Command Line Window and run ```bash hmm_main() ``` ## Results Here is an example GIF showing the self-localization process:  ## Authors - Catarina Carvalho - Gil Serrano