A Design Architecture for Steering an Autonomous All-Terrain Vehicle Using Object Tracking via Computer Vision and YOLOv8

This paper presents a detailed overview of an autonomous All-Terrain Vehicle (ATV) that tracks and follows a person. The ATV uses computer vision to identify and track objects, and a Jetson Orin Nano GPU and YOLOv8 to enable autonomous operation. The ATV can steer left, steer right, drive straight, speed up, slow down, and stop depending on the person's location relative to the ATV. The paper provides a comprehensive architecture for the ATV's controls and operation, including the hardware and software components. The ATV's computer vision system is based on YOLOv8, which is a state-of-the-art object detection and tracking algorithm. The paper also discusses the challenges associated with developing an autonomous ATV that can track and follow a person, including the need for accurate object detection and tracking, and the importance of safety and reliability. The proposed architecture and operation of the ATV can be used in a variety of applications, including surveillance, security, transportation, and military applications.