Intelligent UAV Development with Autonomous Capabilities

Built an intelligent Unmanned Aerial Vehicle (UAV) capable of autonomous flight, target detection, and decision-making using advanced sensor systems. The system featured real-time obstacle avoidance and automatic execution of pre-defined missions through an array of LiDAR and IR sensors for precise range detection. Using a Raspberry Pi as the main processing unit connected to a Pixhawk flight controller via DroneKit, the system could dynamically navigate and avoid obstacles. The project focused on multi-threaded processing on the Raspberry Pi, PID tuning for stable flight, and integration of LiDAR, IR sensors, and GPS/IMU modules for comprehensive spatial awareness. The UAV demonstrated reliable performance in various environments with its sensor-based obstacle detection capabilities. Key Contributions: • Implemented autonomous navigation and obstacle avoidance algorithms. • Tuned PID controllers for flight stability and responsiveness. • Integrated sensor data (LiDAR, IR sensors, GPS, IMU) for real-time control. • Deployed and tested the system using ROS and Ardupilot simulation.

Tech Stack: Python, Javascript, GPS, C++, Raspberry Pi, ROS, html canvas, PID, Ardupilot, lidar, IR sensors, pixhawk flight, drone kit