AI agents in autonomous vehicles are software-based systems that enable vehicles to make decisions autonomously, primarily through the application of artificial intelligence techniques such as machine learning.
They address the need for vehicles to operate safely and efficiently in complex environments without human intervention, improving road safety and potentially reducing traffic congestion.
These AI agents process sensor data from cameras, lidars, radars, and other sensors to understand the vehicle's environment. They use this information to make real-time decisions about navigation, obstacle avoidance, and interaction with other vehicles or pedestrians.
Manufacturing involves developing and integrating AI models into vehicle systems, which requires sophisticated hardware and software development capabilities.
The build process includes data collection, model training, validation, and deployment. It also involves rigorous testing to ensure reliability and safety in various driving conditions.
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