Autonomous Driving and ADAS Embedded with AI: Comparing the AI Norms

Autonomous driving systems aim to enable vehicles to navigate and operate independently without human intervention. Leveraging cutting-edge technologies such as artificial intelligence, advanced machine learning, computer vision, and sensor fusion, autonomous vehicles can perceive their environment, make decisions, and execute actions akin to human drivers. This technology holds the promise of significantly reducing road accidents, enhancing traffic flow, and providing mobility solutions for the elderly and disabled. However, the widespread adoption of fully autonomous vehicles faces formidable challenges. Safety remains a paramount concern, necessitating rigorous testing and validation procedures to ensure the reliability and robustness of autonomous systems. Technological limitations, such as inclement weather conditions, complex urban environments, and unpredictable human behavior, present hurdles that require innovative solutions. We intend to study the important constituents of autonomous driving and try to explore the scope of Artificial Intelligence in assisting driving.