Inside the Mind of a Self-Driving Car: Engineering Intelligence on Wheels

Abstract

Self-driving cars combine cameras, sensors, and intelligent computer programs to move safely without human help. These systems 
are designed to see the road, understand what is happening, and make quick driving decisions. This paper explains how self-driving 
cars work step by step — starting with computer vision and deep learning for lane detection, traffic sign recognition, behavior 
cloning, and object tracking. It also covers sensor fusion, localization, and control techniques such as Kalman filters and PID 
controllers that help the car know its position and move smoothly. The paper further explains path planning, system integration, and 
safety methods that allow all components to work together. Finally, it discusses the challenges, current progress, and future direction 
of autonomous driving. The goal is to help readers clearly understand how modern cars think, plan, and act intelligently on the road.