Analysis of Perception Accuracy of Roadside Millimeter-Wave Radar for Traffic Risk Assessment and Early Warning Systems.

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Title: Analysis of Perception Accuracy of Roadside Millimeter-Wave Radar for Traffic Risk Assessment and Early Warning Systems.
Authors: Zhao C; Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China., Ding D; Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China., Du Z; Shanghai Pudong Development (Group) Co., Ltd., Shanghai 201204, China., Shi Y; Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China., Su G; Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China.; Shanghai SH Intelligent Automotive Technology Co., Ltd., Shanghai 201805, China.; Shanghai SEARI Intelligent System Co., Ltd., Shanghai 200063, China., Yu S; National Engineering and Research Center for Mountainous Highways, China Merchants Chongqing Communications Research & Design Institute Co., Ltd., Chongqing 400067, China.
Source: International journal of environmental research and public health [Int J Environ Res Public Health] 2023 Jan 03; Vol. 20 (1). Date of Electronic Publication: 2023 Jan 03.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601 (Electronic) Linking ISSN: 16604601 NLM ISO Abbreviation: Int J Environ Res Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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An: 36613210
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  Data: Analysis of Perception Accuracy of Roadside Millimeter-Wave Radar for Traffic Risk Assessment and Early Warning Systems.
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  Data: <searchLink fieldCode="AU" term="%22Zhao+C%22">Zhao C</searchLink>; Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China.<br /><searchLink fieldCode="AU" term="%22Ding+D%22">Ding D</searchLink>; Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China.<br /><searchLink fieldCode="AU" term="%22Du+Z%22">Du Z</searchLink>; Shanghai Pudong Development (Group) Co., Ltd., Shanghai 201204, China.<br /><searchLink fieldCode="AU" term="%22Shi+Y%22">Shi Y</searchLink>; Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China.<br /><searchLink fieldCode="AU" term="%22Su+G%22">Su G</searchLink>; Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai 201804, China.; Shanghai SH Intelligent Automotive Technology Co., Ltd., Shanghai 201805, China.; Shanghai SEARI Intelligent System Co., Ltd., Shanghai 200063, China.<br /><searchLink fieldCode="AU" term="%22Yu+S%22">Yu S</searchLink>; National Engineering and Research Center for Mountainous Highways, China Merchants Chongqing Communications Research & Design Institute Co., Ltd., Chongqing 400067, China.
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  Data: <searchLink fieldCode="JN" term="%22101238455%22">International journal of environmental research and public health</searchLink> [Int J Environ Res Public Health] 2023 Jan 03; Vol. 20 (1). <i>Date of Electronic Publication: </i>2023 Jan 03.
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  Data: Journal Article; Research Support, Non-U.S. Gov't
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI%22">MDPI </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101238455 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1660-4601 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216604601%22">16604601 </searchLink><i>NLM ISO Abbreviation: </i>Int J Environ Res Public Health <i>Subsets: </i>MEDLINE
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3390/ijerph20010879
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      – Code: eng
        Text: English
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      – TitleFull: Analysis of Perception Accuracy of Roadside Millimeter-Wave Radar for Traffic Risk Assessment and Early Warning Systems.
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            NameFull: Zhao C
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            NameFull: Ding D
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            – D: 03
              M: 01
              Text: 2023 Jan 03
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