# Uda-SelfCar

**Repository Path**: knowmefly/Uda-SelfCar

## Basic Information

- **Project Name**: Uda-SelfCar
- **Description**: Udacity的无人驾驶学位
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 1
- **Created**: 2019-02-23
- **Last Updated**: 2023-12-23

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Uda-SelfCar
Udacity的无人驾驶学位作业


## 数据说明
> 相关训练的数据存在了[百度云](https://pan.baidu.com/s/1XoR_bguA779c9jQvEDNsqQ)


## 内容说明
> 每个重要项目都有write_up写的项目思路

### 1环境安装
[1CarND-Term1-Starter-Kit-Test](https://github.com/Parker-Lyu/Uda-SelfCar/tree/master/1CarND-Term1-Starter-Kit-Test) 
> 顺利运行其中的noteboke即可

### 2车道线检测简版
[2CarND-LaneLines-P1](https://github.com/Parker-Lyu/Uda-SelfCar/tree/master/2CarND-LaneLines-P1)
> 检测车道线

> ![](https://raw.githubusercontent.com/Parker-Lyu/Uda-SelfCar/master/2CarND-LaneLines-P1/show.gif)

### 3交通标志分类
[3CarND-Traffic-Sign-Classifier-Project-master](https://github.com/Parker-Lyu/Uda-SelfCar/tree/master/3CarND-Traffic-Sign-Classifier-Project-master)
> 简单的分类项目及卷积网络可视化
数据在上面的百度云连接

### 4特征提取
[4CarND-Alexnet-Feature-Extraction-master](https://github.com/Parker-Lyu/Uda-SelfCar/tree/master/4CarND-Alexnet-Feature-Extraction-master)
> 权重数据在上面的百度云连接

### 5行为克隆
[5CarND-Behavioral-Cloning-P3-master](https://github.com/Parker-Lyu/Uda-SelfCar/tree/master/5CarND-Behavioral-Cloning-P3-master)
> udacity的驾驶模拟器，利用模拟器行车时产生的图片及对应的加速/减速/方向数据，训练一个行为克隆网络来自动驾驶汽车

> 使用方法见该项目文件内的Readme

> ![](https://raw.githubusercontent.com/Parker-Lyu/Uda-SelfCar/master/5CarND-Behavioral-Cloning-P3-master/show.gif)

### 6相机标定
[6CarND-Camera-Calibration-master](https://github.com/Parker-Lyu/Uda-SelfCar/tree/master/6CarND-Camera-Calibration-master)
> 标定相机，去相机畸变(径向畸变、切向畸变)对图像的影响
> ![](https://raw.githubusercontent.com/Parker-Lyu/Uda-SelfCar/master/6CarND-Camera-Calibration-master/result.png)

### 7进一步的车道线检测基础
[7Advanced-Techniques-for-Lane-Finding](https://github.com/Parker-Lyu/Uda-SelfCar/tree/master/7Advanced-Techniques-for-Lane-Finding)
> 利用颜色空间阈值及sobel算子等检测直线，利用透视变换在垂直视角测量、拟合车道线
> ![](https://raw.githubusercontent.com/Parker-Lyu/Uda-SelfCar/master/7Advanced-Techniques-for-Lane-Finding/show.png)

### 8视频车道线检测
[8CarND-Advanced-Lane-Lines-P4](https://github.com/Parker-Lyu/Uda-SelfCar/tree/master/8CarND-Advanced-Lane-Lines-P4)
> 从视频里检测车道线

>![](https://raw.githubusercontent.com/Parker-Lyu/Uda-SelfCar/master/8CarND-Advanced-Lane-Lines-P4/output_images/show.gif)


### 9利用hog+SVM检测车辆

[9Car-Detection](https://github.com/Parker-Lyu/Uda-SelfCar/tree/master/9Car-Detection)
> hog+svm检测视频中的车辆

>![](https://raw.githubusercontent.com/Parker-Lyu/Uda-SelfCar/master/9Car-Detection/show.gif)


### YOLO3 + 传统CV
[10Detect-Line-And-Cars](https://github.com/Parker-Lyu/Uda-SelfCar/tree/master/10Detect-Line-And-Cars)
> 检测车辆及车道线检测

>![](https://raw.githubusercontent.com/Parker-Lyu/Uda-SelfCar/master/10Detect-Line-And-Cars/show.gif)