目录前言·························································································3第一章绪论················································································41.1研究背景及意义····································································41.2卷积神经网络概述·································································51.3本文的主要工作及创新点························································61.4文章结构·············································································6第二章交通信号灯检测与识别技术·····················································82.1研究现状分析·······································································82.1.1颜色空间·······································································82.1.2交通信号灯的检测技术···················································102.1.3特征提取······································································112.1.4交通信号灯的识别技术···················································112.1.5目标追踪算法·······························································112.2交通信号灯检测与识别技术难点·············································122.3本章小结···········································································12第三章基于FasterR-CNN的交通信号灯检测技术································133.1基于RegionProposal的深度学习目标检测算法的演进··················133.1.1R-CNN目标检测算法·····················································133.1.2SPP-NET目标检测算法···················································153.1.3FastR-CNN目标检测算法················································163.1.4FasterR-CNN目标检测算法·············································183.2本文使用的目标检测模型PVA-Net··········································213.3本章小结···········································································22第四章基于CNN的交通信号灯识别技术·····························...
VIP
