Risk assessment of autonomous vehicle based on six-dimensional semantic space

To address the problems of inadequate extraction of risk elements and low robustness of risk scenario assessment in autonomous vehicles, a risk assessment framework based on six-dimensional semantic space was proposed, which included risk element extraction based on six-dimensional semantic space an...

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Main Authors: Yanan CHEN, Ang LI, Dan WU
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2024-01-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024001/
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author Yanan CHEN
Ang LI
Dan WU
author_facet Yanan CHEN
Ang LI
Dan WU
author_sort Yanan CHEN
collection DOAJ
description To address the problems of inadequate extraction of risk elements and low robustness of risk scenario assessment in autonomous vehicles, a risk assessment framework based on six-dimensional semantic space was proposed, which included risk element extraction based on six-dimensional semantic space and risk scenario assessment based on knowledge graph.Formerly, the semantic space was constructed with RGB and IR data mapped, and rich features were extracted using inter-modal correlations for explicit and potential risk elements.Subsequently, risk elements were distilled into a knowledge graph by semantic role annotation and entity fusion, and an inference method was designed by combining node completion and risk level function for accurate risk assessment.Simulations show that the proposed method surpasses current MSMatch and iSQRT-COV-Net in accuracy, false/missed alarm rate, and processing time.
format Article
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institution Kabale University
issn 1000-436X
language zho
publishDate 2024-01-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-0ec27219f87f4b369e00d64948cb0f8a2025-01-14T06:22:37ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2024-01-0145779359385225Risk assessment of autonomous vehicle based on six-dimensional semantic spaceYanan CHENAng LIDan WUTo address the problems of inadequate extraction of risk elements and low robustness of risk scenario assessment in autonomous vehicles, a risk assessment framework based on six-dimensional semantic space was proposed, which included risk element extraction based on six-dimensional semantic space and risk scenario assessment based on knowledge graph.Formerly, the semantic space was constructed with RGB and IR data mapped, and rich features were extracted using inter-modal correlations for explicit and potential risk elements.Subsequently, risk elements were distilled into a knowledge graph by semantic role annotation and entity fusion, and an inference method was designed by combining node completion and risk level function for accurate risk assessment.Simulations show that the proposed method surpasses current MSMatch and iSQRT-COV-Net in accuracy, false/missed alarm rate, and processing time.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024001/six-dimensional semantic spaceknowledge graphrisk elementrisk assessmentautonomous vehicle
spellingShingle Yanan CHEN
Ang LI
Dan WU
Risk assessment of autonomous vehicle based on six-dimensional semantic space
Tongxin xuebao
six-dimensional semantic space
knowledge graph
risk element
risk assessment
autonomous vehicle
title Risk assessment of autonomous vehicle based on six-dimensional semantic space
title_full Risk assessment of autonomous vehicle based on six-dimensional semantic space
title_fullStr Risk assessment of autonomous vehicle based on six-dimensional semantic space
title_full_unstemmed Risk assessment of autonomous vehicle based on six-dimensional semantic space
title_short Risk assessment of autonomous vehicle based on six-dimensional semantic space
title_sort risk assessment of autonomous vehicle based on six dimensional semantic space
topic six-dimensional semantic space
knowledge graph
risk element
risk assessment
autonomous vehicle
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024001/
work_keys_str_mv AT yananchen riskassessmentofautonomousvehiclebasedonsixdimensionalsemanticspace
AT angli riskassessmentofautonomousvehiclebasedonsixdimensionalsemanticspace
AT danwu riskassessmentofautonomousvehiclebasedonsixdimensionalsemanticspace