How does image recognition work in autonomous vehicles?
An example of an AI chatbot conversation about image recognition in self-driving cars.
How does image recognition work in autonomous vehicles?
Image recognition in autonomous vehicles uses cameras and sensors to identify objects, road signs, and obstacles.
What technologies are involved in this process?
Key technologies include computer vision, machine learning algorithms, and neural networks that process visual data.
How accurate is image recognition in these vehicles?
The accuracy can exceed 90%, but it varies based on conditions like lighting, weather, and the complexity of the environment.
What are the challenges faced in image recognition?
Challenges include handling diverse environments, real-time processing, and ensuring safety in unpredictable situations.
Can image recognition improve over time?
Yes, through machine learning, systems can improve as they process more data and learn from past experiences.
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