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The AI Podcast

Ep. 4: How AI Will Revolutionize Driving — Danny Shapiro, NVIDIA

Dec 18, 2016
Danny Shapiro from NVIDIA discusses how AI revolutionizes driving. Topics include training cars with AI and sensors, object recognition using deep learning, safety and comfort in driverless cars, and the challenges of full autonomous driving in city scenarios.
24:38

Episode guests

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Quick takeaways

  • Self-driving cars rely on AI and deep learning to navigate complex driving tasks through sensor data analysis.
  • Deep learning revolutionizes sign recognition in self-driving cars by training on extensive image datasets.

Deep dives

The Role of AI in Self-Driving Cars

Self-driving cars rely on AI and deep learning to navigate intricate driving tasks that involve responding to various environmental stimuli. Through the use of sensors like cameras, radar, ultrasonic, and LiDAR, vehicles collect data to train AI systems on recognizing and interpreting their surroundings. By employing deep learning techniques, cars learn to identify objects such as cars, pedestrians, or trucks, and discern the appropriate actions for safe navigation.

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