目录摘要...........................................................................................................1ABSTRACT........................................................................................................2第1章绪论.........................................................................................31.1研究背景...................................................................................31.2国内外进展.............................................................................41.2.1目标检测算法..............................................................41.2.2车辆检测算法..............................................................51.2.3深度学习..........................................................................61.3研究内容和论文结构.....................................................6第2章深度学习与卷积神经网络...................................82.1深度学习与卷积神经网络中的基本概念.....82.1.1卷积神经网络的基本结构................................82.1.2深度学习中的训练与测试方法.................112.2经典卷积网络模型........................................................142.2.1VGG网络..........................................................................142.2.2GoogLeNet网络..............................................................142.2.3dropout与批量归一化............................................162.3本章小结................................................................................16第3章基于Caffe框架的车辆检测算法....................173.1目标检测中的基本概念............................................173.2Caffe框架...................................................................................183.3YOLO算法................................................................................193.4FasterR-CNN算法....................................................................213.5本章小结................................................................................23第4章实验仿真与性能分析............................................244.1实验准备................................................................................244.1.1实验环境.......................................................................244.1.2数据集准备.................................................................244.2YOLO算法实现车辆检测............................................254.3FasterR-CNN算法实现车辆检测................................274.4本章小结................................................................................29第5章总结与展望....................................................................315.1本文总结................................................................................315.2工作展望................................................................................31参考文献............................................................................................33致谢........................................................................................................35摘要车辆检测是目标检测的子类，其要做的是在给定图像中找出所有车辆并给出它们的边界框是智能交通系统与车辆驾驶技术中最基础也是最重要的部分。从安全性与实用性的角度来讲车辆检测器需要具有非常高的检测准确度并能完成实时处理。本文首先介绍了深度学习与卷积神经网络的基本概念，之后在此基础上详细叙述了FasterR-CNN与YOLO两种典型目标检测框架的流程，...
