This code is a research oriented full stack autonomous driving platform. It has been implemented on the real autonomous vechiels as well as CARLA simluator.
Please checkout the branch: dev/zhcao/master
The goals for this repository are:
- Easily setup the environment: mainly using python
- Easily transfer to real vehicle driving: Sharing the same code environment with the real vehicle implementment
Please checkout the branch: dev/xiaopengG3
The goals for this repository are:
- Same codes with the real vehicle driving
- Efficient: Codes are written in C++ for efficiency.
Example driving data can be downloaded from:
https://pan.baidu.com/s/1846ZN8GzlhuyUD5FQEf_jw
password：18xx
Please reading the record.txt for detailed description.Feel free to dive in!
Contributors main come from Tsinghua University and University of Michigan.
- Contributors: Dr. Zhong Cao (Tsinghua), Yuanxin Zhong (Umich), Minghan Zhu (Umich), Weitao Zhou (Tsinghua)
- Advisors: Pro. Diang Yang (Tsinghua), Prof. Huei Peng (Umich), Dr. Shaobing Xu (Umich)
If you use this codes, please cite our IV2020 paper:
@inproceedings{zhong2020clap,
title={CLAP: Cloud-and-Learning-compatible Autonomous driving Platform},
author={Zhong, Yuanxin and Cao, Zhong and Zhu, Minghan and Wang, Xinpeng and Yang, Diange and Peng, Huei},
booktitle={2020 IEEE Intelligent Vehicles Symposium (IV)},
pages={1450--1456},
organization={IEEE}
}
Please contact us if you have any questions. Zhong Cao (Tsinghua University): caozhong@tsinghua.edu.cn, Yuanxin Zhong (University of Michigan): zyxin@umich.edu