Traffic Accident Scene Recognition with FMCW Radar and Vision Transformer

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

Original language	English
Pages (from-to)	61-66
Number of pages	6
Journal	International Journal of Design, Analysis and Tools for Integrated Circuits and Systems
Volume	11
Issue number	1
Publication status	Published - Nov 2022

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This output contributes to the following UN Sustainable Development Goals (SDGs)

@article{b23588e516404b06b9318d9621aaebfc,

title = "Traffic Accident Scene Recognition with FMCW Radar and Vision Transformer",

author = "Runwei Guan and Man, {Ka Lok} and Liye Jia and Yuanyuan Zhang and Shanliang Yao and Lim, {Eng Gee} and Smith, {Jeremy S.} and Yutao Yue",

year = "2022",

month = nov,

language = "English",

volume = "11",

pages = "61--66",

journal = "International Journal of Design, Analysis and Tools for Integrated Circuits and Systems",

issn = "2071-2987",

number = "1",

}

TY - JOUR

T1 - Traffic Accident Scene Recognition with FMCW Radar and Vision Transformer

AU - Guan, Runwei

AU - Man, Ka Lok

AU - Jia, Liye

AU - Zhang, Yuanyuan

AU - Yao, Shanliang

AU - Lim, Eng Gee

AU - Smith, Jeremy S.

AU - Yue, Yutao

PY - 2022/11

Y1 - 2022/11

M3 - Article

SN - 2071-2987

VL - 11

SP - 61

EP - 66

JO - International Journal of Design, Analysis and Tools for Integrated Circuits and Systems

JF - International Journal of Design, Analysis and Tools for Integrated Circuits and Systems

IS - 1

ER -