智能驾驶新能源商用车感知系统中的目标识别精度提升方法研究

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中图分类号:U461 DOI:10.20042/j.cnki.1009-4903.2025.03.026

Abstract:Theenvironmentalperceptionsystemofinteligentdrivingvehiclesisacoremoduleforensuringsafedrivingandautoomous decision-makingithtargetrecognitionacuracydiectlyffctingtesabityfinteligentcotrol.Tadessttio accuracychalengesfacedbynewenergycommercialvehiclesincomplexurbanenvironments,thispaperconstructsamultisource fusionperceptionsystem.Itproposesseveralenhancementmethodsfocusingonmuli-sensorfusionstrategies,deeplearingmodel optimization,temporaldynamicmodelingandedgedeploymentFieldtestswereconductedinepresentativeurbantrafienarios. Resultsshowthatheoptiizedmodeloutperfostraditioalmetodsinecogitionaccuracyesponsespeedndsabjct detectionefngineerinalabiltnddapabitstudypodslidecaupportfoipovigo accuracy in inteligent driving systems of new energy commercial vehicles.

Keywords: Intelligent driving; Target recognition; Sensor fusion; Newenergycommercial vehicles

0 引言

智能驾驶技术已成为推进新能源商用车安全高效运行的关键支撑,其中环境感知系统作为智能决策的前置环节,其识别精度直接影响着整车在复杂道路环境中的运行效果。(剩余4029字)

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