环境污染下基于DeepLabv3 + 的道路病害检测研究

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文章编号：1674-6139（2025）06-0124-05

中图分类号：X734文献标志码：B

Research on Road Disease Detection Based on DeepLabv3 + Under Environmental Pollution

Long Xing 1，2 ，Liu Zhiyun³，Huang Huaping4，Wang Yi4 ，Guo Yuqing

（1.China Railway Construction Investment Group Co.，Ltd，Zhuhai 519031，China;2.School of Human Settlementsand Civil Engineering，Xi'an Jiaotong University，Xi'an 710o49，China；3.Geological Engineering and Geomatics，Chang'an University，Xi'an 710o54，China；4.China Railway Eryuan Engineering Group Co.Ltd，Chengdu 61OO36，China；5.Wuhan TianjihangInformation Technology Co.，Ltd.，Wuhan 43OO74，China）

Abstract：Regardingtherapiddevelopmentofthetransportationroadsystem，thedensityofroadconstructionnetworkcontiuesto expand，andthefrequentdingofeicleshasledtofrequentanddeepeingroadsurfcediseasesTsuetepeforanceofig waypavementandvehicledrivingsfetysemanticgmentatioodelusingdroerialpotogaphyanddeepexperimetstdied anditsnetworksructureisoptimizedformagedetectionofroaddiseases，timelydetectionandrepairofoaddiseaseproblemsTheexperimentalresultssowthattesmanticsegmentationmodeloftheimproveddeepexperimentalerieshasdetectioaccracyndreal rate of 86.34% and 92.44% forroad potholes，indicatingthe superiority of its improved model inroad diseasedetection.Therefore，the roaddiseasedetectionmodel hasfeasibilityandtechnical referencefor highwaynetwork constructionandvehiclesafety.

Keywords：environmentalpolution；semanticsegmentationmodel；highwayconstruction；roaddiseases；detectionmodel

前言

随着城市化的推进，交通基础设施逐渐完善，多种道路的建设满足了不同地形和使用需要[1]。（剩余5411字）