Autonomous UAS for Industrial Inspection

My work focused on developing and deploying a small-UAS platform specifically designed for autonomous inspection in challenging, GPS-denied environments like maintenance tunnels. This project integrated multiple sensors and a custom navigation algorithm to ensure reliable operation in confined spaces.

Key Contributions

• Built a small-UAS platform for autonomous inspection, integrating LiDAR, vision, and thermal sensors via ROS for 3D mapping and heat-signature monitoring.
• Developed a custom navigation algorithm that improved efficiency by 60% over existing methods and was optimized for real-time operation on a low-power onboard computer.
• Performed multi-sensor calibration and fusion to enable reliable SLAM-based navigation and inspection in confined environments.