【学习】（教程 代码）基于Keras＆Tensorflow的车道跟随自动驾驶仪

摘要

 

转自：视觉机器人

本文将介绍如何使用Keras + Tensorflow创建一个卷积神经网络，并训练车辆在两条白线之间行驶。          

This document walks through how to create a convolution neural network using Keras+Tensorflow and train it to keep a car between two white lines.

Here is a Raspberry Pi controlled RC car using the autopilot crated in this document to drive between the lines. See the donkey repository for instructions to build your own car.

Get the driving data

The dataset is combosed of ~7000 images collected as I manually drove the car. About 2/3 of the images are with the car between the lines. The other third is of the car starting off course and correcting by driving back to between the lines.

链接：

https://wroscoe.github.io/keras-lane-following-autopilot.html#keras-lane-following-autopilot

代码链接：

https://github.com/wroscoe/donkey

原文链接：

http://weibo.com/5501429448/ErI58hmJq?from=page_1005055501429448_profile&wvr=6&mod=weibotime&type=comment#_rnd1485003562693