# pynq_car

**Repository Path**: KeRi/pynq_car

## Basic Information

- **Project Name**: pynq_car
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-06-30
- **Last Updated**: 2021-07-01

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<!--
 * @Author: Sauron Wu
 * @GitHub: wutianze
 * @Email: 1369130123qq@gmail.com
 * @Date: 2019-09-03 16:28:15
 * @LastEditors  : Sauron Wu
 * @LastEditTime : 2020-01-19 13:06:36
 * @Description: 
 -->
# Notice:The whole project has been moved to [HydraMini](https://github.com/wutianze/HydraMini) and [Autonomous-Driving-Simulator](https://github.com/wutianze/Autonomous-Driving-Simulator), pynq_car will no longer be updated and may be deleted soon. So please turn to my new addresses.
# You can read the gitbook [here](https://app.gitbook.com/@1369130123/s/pynq-z2-ad-car/)
# Build your own autonomous Car
## Introduction
Enjoy your own autonomous driving car with the power of DPU and feel free to try your own AI model and new ideas.

## Material
Download the image we provided [here](https://pan.baidu.com/s/1gOJaoJJ8z2jf-BaLklID3Q). To understand the whole project well, you can read the paper we published in FPT2019 [here](https://easychair.org/publications/preprint/GMvL). And here is one simple guide written in Chinese, [Xilinx HydraMini试玩教程](https://blog.csdn.net/qq_25762163/article/details/103591878)


## Preparations
- The host pc should be ubuntu 16.04, you can refer to [this](https://github.com/wutianze/dnndk3.0-pynqz2) to build an environment for DNNDK_v3.0 using tensorflow. If you want to run the simulator, refer to Virtual-Part to set the Unity3d environment.
- Power the Pynq-Z2 in your car and run `nmtui` to connect the car to your switch(make sure your PC connected to the same).
- Read the guides.