Which of the following best describes autonomous vehicles?

The choice that describes autonomous vehicles accurately is that they represent a common application of AI for navigation and control. Autonomous vehicles utilize artificial intelligence to interpret sensory data from their surroundings, allowing them to make driving decisions without human intervention. This involves complex algorithms and machine learning models that process information from cameras, LIDAR, GPS, and other sensors to safely navigate roads, avoid obstacles, and follow traffic regulations.

The use of AI in these vehicles enhances their ability to function in dynamic environments, making real-time decisions based on changing conditions. Thus, the essence of autonomous vehicles lies in their capability to leverage AI technologies for tasks traditionally performed by human drivers, showcasing a significant advancement in both automotive technology and artificial intelligence.

In contrast, other options suggest limitations that do not accurately reflect the nature of autonomous vehicles. For instance, characterizing them as relying solely on manual operation misrepresents their key feature of automation. Additionally, describing them as a system that cannot interact with the environment overlooks the fundamental need for situational awareness in autonomous driving. Finally, labeling them a form of traditional transportation fails to recognize the innovative and transformative potential of autonomous vehicles in the transportation sector.