Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car论文笔记
这一系统通过学习人类驾驶者的操纵方式来学习驾驶汽车。神经网络通过车上安装的摄像头收集路面情况，随后将图像和驾驶者动作的记录进行配对。研究者们记录了大量不同环境中的驾驶数据：有画线和没有画线的道路；乡间小路和高速公路；一天中不同光照条件下的同一段路，以及不同天气条件下的道路环境。 通过观察，神经网络通过训练在完全没有手动输入编程指令的情况下学会了如何驾驶 BB8。现在这个神经网络已经可以在未遇到过的
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