車路云一體化路側(cè)感知系統(tǒng)數(shù)據(jù)質(zhì)量研究綜述

中圖分類號：U471 DOI：10.20042/j.cnki.1009-4903.2025.02.008

Abstract：AstheVRCIntegratinprojectadvanceseicleoadcolaborationapplicationsaveproiferatedyetroadsidepceptio dataquaityremainsunevenacross Chineseregions.ThispaperfocusesonthedataqualityofVRCIntegrationroadsideperception systems.ThispaperinvestigatesdataqualityinVRC-integratedroadsideperceptionsystems，systematizingdatasourcesand clasificationswhilerigorouslyanalyzingmultidimensional metricsforevaluatingperceptiondata quality.Byexaminingdataquality requirementsviascenarioonstructionanddataonboardingpracticesinvicularsystems，thisstudysummarzescurentalenges indataqualitymanagement.TheanalysisimstoprovideinsightsforVCIntegrationiniativesfromadataqualityperspectivewhile alsoproposing developmental directions forrefining qualitystandards and advancing technologicalinnovations. Key Words： Vehicle-Road-Cloud Integration; Roadside perception; Data quality; Data-onboarding

0 引

當(dāng)前，“車路云”一體化技術(shù)已成為推動自動駕駛和智慧城市落地的核心引擎。（剩余3836字）