摘要
随着城市交通压力增大,传统管理模式难适应需求,智慧交通系统应运而生。提出一种基于残差网络的智能轻微交通事故处理系统,能自动预处理事故现场图像,利用残差网络构建事故损伤鉴定模型,通过深度学习技术自动识别和评估车辆损伤程度。同时,利用大数据与AI技术进行迁移学习,提取并融合多车事故多角度图像特征,构建事故责任鉴定模型,为智能交通系统发展提供新思路。
With the increase of urban traffic pressure,the traditional management mode is difficult to meet the demand,and the intelligent transportation system arises at the historic moment.This paper proposes an intelligent minor traffic accident processing system based on the residual network,which can automatically preprocess the accident scene image,use the residual network to construct the accident damage identification model,and automatically identify and evaluate the degree of vehicle damage through deep learning technology.At the same time,big data and AI technology are used for transfer learning,extract and integrate multi-angle image features of multi-vehicle accidents,build accident responsibility identification model,and provide new ideas for the development of intelligent transportation system.
作者
董伟
Dong Wei(Jilin Police College,Changchun,Jilin 130117,CHN)
出处
《模具制造》
2024年第9期142-144,共3页
Die & Mould Manufacture
基金
“吉林警察学院院级项目,项目名称:公安视听技术在交通事故处理中的应用研究,项目编号:吉林警察学院科研重点项目202403,主持人:董伟,主要参加人:高一卓、张建军、汤济源。
关键词
智慧交通系统
道路管理
交通事故
信息化
intelligent transportation system
road management
traffic accidents
informatization
