Human-Like Traffic Scene Understanding System: A Survey

Zi Xiang Xia; Wei Cheng Lai; Li Wu Tsao; Lien Feng Hsu; Chih Chia Hu Yu; Hong Han Shuai; Wen Huang Cheng

doi:10.1109/MIE.2020.2970790

Human-Like Traffic Scene Understanding System: A Survey

Zi Xiang Xia, Wei Cheng Lai, Li Wu Tsao, Lien Feng Hsu, Chih Chia Hu Yu, Hong Han Shuai, Wen Huang Cheng

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

Original language	English
Journal	IEEE Industrial Electronics Magazine
DOIs	https://doi.org/10.1109/MIE.2020.2970790
State	Accepted/In press - 2020

Keywords

Automobiles
Cognition
Planning
Predictive models
Roads
Three-dimensional displays
Visualization

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10.1109/MIE.2020.2970790

Cite this

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title = "Human-Like Traffic Scene Understanding System: A Survey",

keywords = "Automobiles, Cognition, Planning, Predictive models, Roads, Three-dimensional displays, Visualization",

author = "Xia, {Zi Xiang} and Lai, {Wei Cheng} and Tsao, {Li Wu} and Hsu, {Lien Feng} and {Hu Yu}, {Chih Chia} and Shuai, {Hong Han} and Cheng, {Wen Huang}",

year = "2020",

doi = "10.1109/MIE.2020.2970790",

language = "English",

journal = "IEEE Industrial Electronics Magazine",

issn = "1932-4529",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Human-Like Traffic Scene Understanding System

T2 - A Survey

AU - Xia, Zi Xiang

AU - Lai, Wei Cheng

AU - Tsao, Li Wu

AU - Hsu, Lien Feng

AU - Hu Yu, Chih Chia

AU - Shuai, Hong Han

AU - Cheng, Wen Huang

PY - 2020

Y1 - 2020

KW - Automobiles

KW - Cognition

KW - Planning

KW - Predictive models

KW - Roads

KW - Three-dimensional displays

KW - Visualization

UR - http://www.scopus.com/inward/record.url?scp=85098789430&partnerID=8YFLogxK

U2 - 10.1109/MIE.2020.2970790

DO - 10.1109/MIE.2020.2970790

M3 - Article

AN - SCOPUS:85098789430

SN - 1932-4529

JO - IEEE Industrial Electronics Magazine

JF - IEEE Industrial Electronics Magazine

ER -

Human-Like Traffic Scene Understanding System: A Survey

Keywords

Access to Document

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