George Hotz, founder of Comma.ai, on how his system picks up on intuitive clues and tries to mimic | Summary and Q&A

TL;DR

Self-driving cars will soon have the ability to navigate cities, but there are still challenges to be addressed, such as improving periphery awareness and ensuring safety during lane changes.

Key Insights

• 🤳 Google's self-driving car relies on predetermined routes, while Tesla's self-driving system uses artificial intelligence to make real-time decisions based on observation.
• ❤️‍🩹 Tesla's self-driving system is primarily focused on highway driving and will be more advanced by the end of the year, similar to Tesla's Autopilot feature.
• 😨 Navigating cities presents challenges for self-driving cars, including improving periphery awareness and ensuring safety during lane changes.
• 😀 The Tesla self-driving system requires side-facing radars to detect the speed of other vehicles for safe lane changes.
• 🫥 Governments implementing lane-defining systems like BOTS dots would not be practical due to complexity and collective action required.
• 🎴 AI technology plays a crucial role in the development of self-driving cars, eliminating the need for physical lane markers.
• 🚨 Self-driving cars communicating with each other is not fruitful as it adds complexity and potential risks, while simpler methods like using cameras to detect brake lights are effective.

Transcript

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Questions & Answers

Q: When will self-driving cars be able to navigate cities effectively?

While Google's self-driving car is still working on navigating cities, Tesla's self-driving system is making progress and will be more sophisticated by the end of the year.

Q: Why does Tesla's self-driving system require more periphery awareness for city driving?

In cities, there are more potential hazards and obstacles, so self-driving cars need to be equipped with 360-degree awareness, including side-facing radars, to make safe driving decisions.

Q: Does Tesla's self-driving system have reverse sensors?

No, Tesla's self-driving system currently does not have reverse sensors, but it does have limited ultrasound sensors and a forward-facing radar and camera for highway driving.

Q: Why don't governments implement systems like BOTS dots to define lanes for self-driving cars?

The complexity and collective action required for such a system make it impractical. Self-driving cars rely on AI technology and advanced sensors to navigate, making lane markers unnecessary.

Summary & Key Takeaways

• Google's self-driving car is designed to follow a predetermined route, while Tesla's self-driving system uses artificial intelligence to make decisions based on real-time observations.

• Tesla's self-driving system is focused on highway driving and will be more advanced by the end of the year, similar to Tesla's Autopilot feature.

• For navigating cities, self-driving cars need improved periphery awareness and the ability to detect other vehicles' speeds to determine safe lane changes.