How does real-time inference work in autonomous vehicles?
An example of an AI chatbot conversation about real-time inference in autonomous vehicles.
How does real-time inference work in autonomous vehicles?
Real-time inference in autonomous vehicles involves processing data from sensors to make immediate driving decisions.
What types of sensors are used for this?
Common sensors include LiDAR, cameras, and radar, which help detect obstacles and understand the environment.
How does the AI ensure safety while driving?
The AI uses algorithms to predict potential hazards and make decisions that prioritize passenger and pedestrian safety.
Can you explain the role of machine learning in this process?
Machine learning helps the AI improve its decision-making by learning from past experiences and adapting to new situations.
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