Published Paper Details:

Self-driving autonomous vehicles are like robotic chauffeurs that can safely transport passengers from one location to another without the need for human intervention. They rely on advanced technologies such as sensors and algorithms to perceive their environment and make real-time decisions while navigating roads. Through the integration of artificial intelligence and machine learning algorithms, self-driving cars analyze sensor data in real-time, enabling them to interpret road conditions, identify obstacles, and make split-second decisions to navigate safely. These decisions encompass everything from maintaining proper lane positioning and adjusting speed to responding to traffic signals, pedestrians, and other vehicles. Furthermore, autonomous vehicles are equipped with intricate mapping systems that provide detailed information about roads, intersections, and landmarks, allowing them to plan optimal routes and anticipate upcoming challenges. These maps are constantly updated. They can optimize driving behaviors to enhance fuel efficiency, mitigate emissions, and contribute to more sustainable mobility solutions. Overall, self-driving autonomous vehicles represent a transformative leap forward in the automotive industry, promising a future where transportation is safer, more convenient, and more accessible for people around the world.