本文概述了无人驾驶汽车系统的四个关键部分：感知、定位、决策和控制，并强调了深度学习在各个领域的显著优势，如提高感知算法性能，影响决策制定，并在智能控制中发挥作用。
Self-Driving Car System 有四个组成部分：
1.Perception : other objects around the car.
2.Localization : GPS + local landmarks + IMU.
3.Decision : path, speed and other behaviour planing.
4.Control : Drive by wire steering wheel, throttle(油门), brake(刹车).
Deep Learning is coming for all major aspects of driverless cars.
1.Perception
DL outperforms traditional perception algorithms by a big margin,
2.Localization
Matured market and technologies.
Emerging new high def map still.
3.Decision
DL based decision are taking over rule-based decision algorithms.
4.Control
Drive-by-wire is standard in most
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