Autonomous Vehicle Project

Problem

An autonomous ground vehicle that navigates mazes autonomously using LIDAR sensors and Arduino Uno while encompassing manual RC based controls.

<h2>Solution</h2>
<p>Developed a comprehensive navigation system integrating LIDAR sensors for obstacle detection and path planning, with Arduino Uno as the central processing unit. The system includes both autonomous and manual RC control modes for flexibility.</p>

<h2>Challenges</h2>
<ul>
  <li>Real-time obstacle detection and avoidance</li>
  <li>Path planning in complex maze environments</li>
  <li>Seamless integration of autonomous and manual control modes</li>
  <li>Optimizing sensor data processing for responsive navigation</li>
</ul>

<h2>Technical Details</h2>
<p>The system utilizes LIDAR sensors for 360-degree environmental mapping, enabling precise obstacle detection and navigation. The Arduino Uno processes sensor data and controls motor movements, while maintaining the ability to switch to manual RC control when needed.</p>