In the development of autonomous vehicles, AI supports intelligence applied in navigation and decision-making tasks related to safety. Machine learning algorithms process sensor information, camera vision, and GPS to understand a vehicle's surroundings and make real-time driving decisions. Abstraction helps in ensuring that the autonomous vehicle learns from the past and is adaptive to new experiences so that its performance is enhanced over a period of time.
Equally, AI could drive optimization in the choice of routes and in the consumption of energy to make autonomous vehicles more efficient.
Equally, AI could drive optimization in the choice of routes and in the consumption of energy to make autonomous vehicles more efficient.