# Submissions for: Sensor Fusion for Autonomous Systems

|#| Submission | Links |
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|1|[Comparative Sensor Fusion for Self-Balancing Bicycle State Estimation](https://github.com/matteo-liguori/EKF-Bike-Multibody-Sensor-Fusion-/tree/main)<br/> This project developed an autonomous self-balancing bicycle with a closed-loop controller, employing noisy IMU and wheel encoder data for real-time state estimation using EKF and weighted average sensor fusion techniques. <br><br> **Authors:** Matto Liguori <br/> **Affiliation:** King's College London <br> **Submission Date:** 2023-05-29|<img width="400" height="0" style="display:block;line-height:0;border:none;" alt=""><br>[![GitHub Repo](https://img.shields.io/badge/GitHub-Repo-181717?style=flat&logo=github&logoColor=white)](https://github.com/matteo-liguori/EKF-Bike-Multibody-Sensor-Fusion-/tree/main) <br> [![Open in MATLAB Online](https://www.mathworks.com/images/responsive/global/open-in-matlab-online.svg)](https://matlab.mathworks.com/open/github/v1?repo=matteo-liguori/EKF-Bike-Multibody-Sensor-Fusion-) <br> [![YouTube Video](https://img.shields.io/badge/Watch%20Video-FF0000?style=flat&logo=youtube&logoColor=white)](https://www.youtube.com/watch?v=VVJciPWCw04&list=PLn8PRpmsu08ogRonqegcx8xJCSSQO5yVX&index=2&t=196s) <br><br><br> [![Trend: Autonomous Vehicles](https://img.shields.io/badge/Trend-Autonomous%20Vehicles-blue?style=flat)](https://github.com/mathworks/MathWorks-Excellence-in-Innovation/blob/main/megatrends/Autonomous%20Vehicles.md)|