Autonomous Vehicle Prototype Based on Image Processing

Abstract

These days, vehicle automation is prioritized so that drivers may take it easy behind the wheel. There have been several developments in the automotive industry that allow for the automation of vehicles. This study presents a small-scale prototype design for a robotic vehicle with three wheels that can stay in its lane and prevent collisions, taking into account a number of factors including features and cost. The technology behind autonomous automobiles is still in its infancy, but it has the potential to revolutionize the way we travel. The research begins out with an overview of the autonomous vehicle industry and its major competitors. Key enabling technologies and their current capabilities, limitations, and prospects are evaluated, and the social and environmental effects of these developments are discussed. When autonomous cars become ubiquitous and inexpensive, they will have the greatest influence in a variety of areas, including traffic and parking congestion, impoverished people's independence in getting about, greater safety, decreased energy consumption and pollution. Our self-driving vehicle's brain is a Raspberry Pi. The camera captures a wide variety of photos, and then AI is achieved by applying different image processing methods to those images.