@inproceedings{ec4e0da398304fbca6da6764d6c79117,
title = "Real-Time knowledge discovery from public data of Internet to improve decision-making of Autonomous Vehicles",
abstract = "with the help of the base installations of network services, mobile networks and pervasive computing, numerous real-Time data information of external environment is available from the Internet and is valuable for autonomous vehicles to improve decision-making. Accordingly, in this paper, an approach is provided to collect useful data from the Internet and discover knowledge from these data. The paper introduces the principles and procedures of the approach detailedly. The approach is featured with low cost, easy deployment and can be widely used in many kinds of autonomous vehicles.",
keywords = "Autonomous vehicles, Decision-making, Embedded framework, Knowledge discovery",
author = "Meng Liu and Guoqi Li and Bin Liu",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2nd International Conference on Reliability Systems Engineering, ICRSE 2017 ; Conference date: 10-07-2017 Through 12-07-2017",
year = "2017",
month = sep,
day = "8",
doi = "10.1109/ICRSE.2017.8030771",
language = "英语",
series = "2017 2nd International Conference on Reliability Systems Engineering, ICRSE 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Dongming Fan and Jun Yang and Ziyao Wang and Tingdi Zhao",
booktitle = "2017 2nd International Conference on Reliability Systems Engineering, ICRSE 2017",
address = "美国",
}