CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 深度强化学习
An Autonomous Driving Experience Platform with Learning-Based Functions
Li, Dong1,2; Zhao, Dongbin1,2; Zhang, Qichao1,2; Zhu, Yuanheng1,2
2018-11
Conference Name2018 IEEE Symposium Series on Computational Intelligence
Conference Date18-21 Nov. 2018
Conference PlaceBangalore, India
Abstract

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.

Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23519
Collection复杂系统管理与控制国家重点实验室_深度强化学习
Corresponding AuthorZhao, Dongbin
Affiliation1.Institute of Automation, Chinese Academy of Sciences
2.University of Chinese Academy of Sciences
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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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