基于深度学习算法的车载摄像头目标识别优化

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中图分类号：U466.79 文献标识码：A 文章编号：1003-8639（2026）03-0052-04

Optimization of Vehicle-Mounted Camera Target Recognition Based on Deep Learning Algorithm

Zhao Wenping （Tianjin Institute of Commerce， School of Information Technology，Tianjin 3Ooooo， China）

【Abstract】 With the rapid development of intelligent driving technology，the accuracyand reliabilityof vehiclemountedcamera'stargetrecognitiondirectlyafectdrivingsafety，whilefactorssuchassuddenchangeofillumination，target occlusion and bad weather willinterfere with the recognition accuracy.Deeplearnine models have high representation ability，so this paper discusss the deployment optimization of deep learning algorithm in the vehicle camera target recognitionsystem，establishesalightweightdeployment scheme，and combines the strategyofparameterquantification andlayer fusion to provide reference for building an all-weather，low-delayautomobileenvironment awarenessystemand promote the landing of intelligent driving technology.

【Key words】deep learning algorithm；optimization of target recognition;vehicle-mounted camera；hardware platform adaptation;multi-source data fusion

0 引言

在现有车载传感器中，摄像头凭借图像分辨率高、视觉信息丰富的优势，被广泛用于车辆、行人及交通标识的探测。（剩余5916字）