Knowledge Commons of Institute of Automation,CAS
An Autonomous Driving Experience Platform with Learning-Based Functions | |
Li, Dong1,2; Zhao, Dongbin1,2; Zhang, Qichao1,2; Zhu, Yuanheng1,2 | |
2018-11 | |
会议名称 | 2018 IEEE Symposium Series on Computational Intelligence |
会议日期 | 18-21 Nov. 2018 |
会议地点 | Bangalore, India |
摘要 | This paper presents an autonomous driving experience platform for the purpose of improving the social acceptance of autonomous driving technologies. The platform includes two modules: a dangerous object detection (DOD) module and a lane keeping assist (LKA) module. The DOD module first employs an object detection convolutional neural network to locate the vehicle on the image, then the dangerous level is determined based on the corresponding location and geometrical relationship. The LKA module, which is based on reinforcement learning inputs the physical sensor measurements and outputs the steering command to control the vehicle in the lane center. The experiments validate the effectiveness of the proposed methods. The platform is exhibited in 2018 Beijing science and technology week. |
收录类别 | EI |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23519 |
专题 | 多模态人工智能系统全国重点实验室_深度强化学习 |
通讯作者 | Zhao, Dongbin |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Li, Dong,Zhao, Dongbin,Zhang, Qichao,et al. An Autonomous Driving Experience Platform with Learning-Based Functions[C],2018. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
2018.SSCI_LiZhaoZhan(215KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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