Implementation of Signal Processing Approach for the Intensity Transformation in Autonomous Cars

Road transportation is a cornerstone of daily life for many, yet it also brings increased risks of accidents stemming from human error. Autonomous vehicles, driven by advancements in technology and artificial intelligence, offer a promising solution by enhancing road safety and security. Leading companies such as Google, Uber, and Tesla are heavily invested in the development of these self-driving vehicles. A critical technology underpinning autonomous cars is image processing. Cameras positioned at the vehicle's front capture data, enabling it to navigate autonomously. Effective lane detection is pivotal for these systems, involving the conversion of video input into images using techniques such as RGB to HSV thresholding. These advancements represent a significant leap towards safer and more efficient transportation systems for the future.