How Autonomous Vehicles Work
summary
Overview of algorithms used in autonomous vehicles, comparing traditional methods with deep neural networks and showing how neural nets are increasingly replacing earlier approaches. Describes implementation of autonomous vehicle components and demonstrates how they work in practice, with examples and videos; also outlines engineering skills needed to work in autonomy.
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chapters (8)
- 0:00Autonomous vehicles intro
- 12:46Perception and localization
- 25:15Path planning and control
- 32:00AI in perception
- 37:37Human-vehicle communication
- 42:53Future of autonomy
- 47:05Autonomy in industry
- 49:57Summary








