基于Mobilenetv1-YOLOv4的低算力汽车数据脱敏技术研究

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中图分类号：U462.3 收稿日期：2025-05-12

DOI：10.19999/j.cnki.1004-0226.2025.08.004

Research on Low-computational-power Vehicle Data Desensitization Technology Based on Mobilenetv1-YOLOv4

Zhu ZhanglinglLiu Peng²Wang Yixuan² Wang Houzheng1Liu Yixuan²He Ting1 1.Anhui Pusi Standard Technology Co.，Ltd.，Wuhu 241ooo，China 2.CATARC Automotive Test Center（Wuhan）Co.，Ltd.，Wuhan 430056，China

Abstract：Withtherapiddevelopmentofintellgentandconnectedvehicles，anincreasingnumberofvehiclesareequippedwith advanceddriverassistancesystems thatrelyonextealsensorssuchascamerasandlidarforroadenvironmentperceptionanddriving decision-making.isprocssivolvesalageamountofextealinteractieifoationtransmsioaingeicledatauityissuesincreasinglyprominent.Toensuredriingsafety，extealpersonalinformationthatcanotbecollectedwithpersonalcosetand transmitedovertheetworkuchasicenseplatesandacsustbeonyiedncludingdeletingimagesthacontainiiable naturalpersosoaplingpartialcontouringproesingtoacialifomationineimags.Tddresstisisue，tispaperrosesa low-computational-powervehicledata desensitization methodbasedonMobilenetv1-YOLOv4.This methodcombinessuper-resolution enhancementreconstructiontechnologyforimageenhancement，enablingdesensitizationofboth externalfacesandvehiclelicense platesatlowomputatioalcosts.Iomplexenvionments，teodelcanstllmaitainhighdetectionacuracyandeal-tiepefor mance.Theimplementationof tisresearchnotonlycomplieswiththerequirementsofthe“SeveralProvisionsontheManagementof AutomotiveDataSecurity”andthenatioalstandardGB/T4464-2024“GeneralRequirementsforAutomotiveData”，butalsohasimportant practical significance for protecting personal privacy and enhancing the security of automotive data.

Key words：Object detection; YOLOv4;Image enhancement;Anonymization processing

1前言

随着智能网联汽车的飞速发展和高阶自动驾驶技术的广泛应用，车辆已不再仅是一个交通工具，更是一个移动的数据中心，涉及大量的数据采集与传输。（剩余9774字）