GTC 2015: NVIDIA DRIVE PX Self-Driving Car Computer and Deep Learning (part 8) | Summary and Q&A

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March 18, 2015
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NVIDIA
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GTC 2015: NVIDIA DRIVE PX Self-Driving Car Computer and Deep Learning (part 8)

TL;DR

Self-driving cars can benefit from deep learning networks to improve their driving behavior and navigate complex environments.

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Questions & Answers

Q: How do driver assistance systems (DENs) currently work in self-driving cars?

DENs detect objects, such as cars and pedestrians, and invoke the brakes to stop the car and avoid collisions. However, this is only a basic capability and does not constitute a fully self-driving car.

Q: What is the role of deep learning networks in self-driving cars?

Deep learning networks can augment DENs by learning the behavior of driving over time. By training the network with a large amount of data, cars can make more informed and smarter driving decisions.

Q: How does deep learning differ from traditional coding methods in self-driving cars?

Traditional coding methods involve writing if-then-else statements for every possible driving scenario, which is impractical in real-life driving situations. Deep learning allows cars to learn from data and make predictions based on large amounts of unstructured information.

Q: Can self-driving cars be trained without any programming?

Yes, DARPA funded a project called Dave, which used a deep neural network to train a self-driving car with no programming at all. The car learned the behavior of driving by observing and imitating human actions.

Summary & Key Takeaways

  • Self-driving car technology has already made significant advancements through driver-assistance systems (DENs) that can detect and stop the car before a collision.

  • The next step in self-driving cars is to move beyond object detection and focus on understanding the environment and making informed driving decisions.

  • Deep learning networks can be used to augment DENs, allowing cars to learn and improve their behavior over time, making them smarter and more efficient drivers.

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