<h3>Background</h3>
<p>    Request for development of a vehicle boarding/alighting recognition solution for autonomous vehicles.</p>
<h3>Responsibilities</h3>
<ul>
<li>Design and development of vehicle boarding/alighting recognition algorithm (70%)</li>
<li>Design and development of vehicle boarding/alighting SDK structure (100%)</li>
<li>Improvement of beacon signal similarity comparison algorithm (100%)</li>
</ul>
<h3>SDK Usage Scenario</h3>
<img src="/images/project_9/figure_1.png" alt="Project Screenshot" style="max-width:100%; height:auto; border-radius:12px; display:block; margin:auto;" />
<h3>SDK Architecture</h3>
<img src="/images/project_9/figure_2.png" alt="Project Screenshot" style="max-width:100%; height:auto; border-radius:12px; display:block; margin:auto;" />
<h3>Detailed Design of Vehicle Recognition Scanner</h3>
<img src="/images/project_9/figure_3.png" alt="Project Screenshot" style="max-width:100%; height:auto; border-radius:12px; display:block; margin:auto;" />


This project involved the development of a solution to recognize vehicle boarding and alighting for autonomous vehicles. My responsibilities included designing and developing the core recognition algorithm, structuring the entire SDK, and improving the beacon signal similarity comparison algorithm. The project resulted in a robust SDK that accurately detects passenger presence in a vehicle.

Developed a beacon-based vehicle boarding recognition SDK for autonomous vehicles, including algorithm design, SDK architecture, and signal similarity comparison improvement.

Beacon-based Vehicle Boarding Recognition SDK Development

An SDK that recognizes locations using Wi-Fi and Bluetooth beacon data. It can also track how long a user stays in a specific place and whether the user is moving. Notifications can be sent when a user visits certain stores. Version management is done via Maven repository.