Abstract

The "Design and Implementation of Autopilot using Jetson Nano" project aims to develop an advanced autonomous control system for unmanned aerial vehicles (UAVs) and other robotic platforms. Leveraging the powerful capabilities of the NVIDIA Jetson Nano, a small yet high-performance single-board computer, this project focuses on creating a robust autopilot system that enables precise navigation, obstacle detection and avoidance, and real-time decisionmaking. This vehicle is designed to comply with the traffic regulations and incorporates several NVIDIA tools, including DeepStream SDK, NVIDIA GPU Cloud, TensorRT, CUDA Toolkit, Triton, and Jetbot, which serves as the central component of the project.The project's primary objectives include the integration of various sensors such as cameras and GPS for environmental perception and positioning, as well as the development of intelligent algorithms for path planning. The Jetson Nano's GPU-accelerated computing capabilities will be harnessed to handle complex data processing tasks efficiently, allowing the autopilot to react swiftly to changing conditions.