车辆自动检测与分类研究使用激光传感器

论文摘要

车辆自动分类在高速公路电子收费站和其他相关智能运输系统(ITS)中变得越发重要。传统的循环检测和摄像检测都存在一些缺陷。循环检测器的维护昂贵,基于视频的检测系统对环境条件敏感,在车型分类中劣势明显。改进过的新一代范围激光传感器具有对光照条件不敏感的特性,并且提供相对于现有系统更好的车辆检测和分类的比率。本文提出一种高速公路上车辆自动检测分类算法系统。该分类算法的提出基于表达车辆的参数空间,包括车身高度,长度和宽度。除此之外,高度轮廓的特征矢量被提取出来。包括高度轮廓在内的特征向量空间是为了加强鉴别具有类似的长度和高度车辆能力的充分条件。然而,对某些车辆类型,使用高度轮廓是没有必要的。本文还体现了如果激光传感器满足一定要求,一个精确的特征向量可以被提取出来,鉴定车辆类别可以使用简单的确定性算法。

论文目录

• 摘要
• Abstract
• Chapter 1 Introduction
• 1.1 Overview Motivation
• 1.2 Methodology
• 1.3 Structure of Report
• Chapter 2 General Vehicle Classification
• 2.1 Introduction
• 2.2 The Vehicle Classification Problem
• 2.3 Uses for Classification Data
• 2.4 Current Vehicle Classification Methods
• 2.4.1 Axle Based Counters
• 2.4.2 Vehicle Length Based Counters
• 2.4.3 Vision Based Classification
• 2.4.4 Height Profile Based Classification
• 2.4.5 Classification System Framework
• Chapter 3 System Operating for Vehicle Detection and Classification
• 3.1 AVDC System
• 3.2 The Technologies Using in AVDC System
• 3.2.1 Inductive Loop Detectors
• 3.2.2 Magnetometer Sensors
• 3.2.3 Microwave Radar
• 3.2.4 PIR（Passive Infra Red）Detectors
• 3.2.5 Ultrasonic Detectors
• 3.2.6 Laser Fixed Beam Detectors（Active Infrared）
• 3.2.7 Laser Scanning Beam Detectors（Active Infrared）
• 3.2.8 Video Image Processing（VIP）Detectors
• 3.3 High Fidelity Laser Sensors
• 3.4 Advanced Laser Sensor Detectors
• TM 800 series'>3.4.1 AutoSense^TM 800 series
• 3.4.2 Universal Laser Sensor（ULS）
• Chapter 4 Data Acquisition and Vehicle Detection
• 4.1 Detection Process
• 4.2 Segmentation
• 4.3 Height Profile of the Vehicle
• 4.4 Data Correction
• Chapter 5 Vehicle Classification Methodology
• 5.1 Vehicle Feature Extraction
• 5.1.1 Height
• 5.1.2 Width
• 5.1.3 Length
• 5.1.4 Speed
• 5.2 Vehicle Classification Technique
• 5.2.1 Classification Scheme
• 5.2.2 Vehicle Classification Algorithm
• 5.2.2.1 Height,Length and Width Based Classification
• 5.2.2.2 Height Profile Based Classification
• 5.2.2.3 Classification Algorithm Steps
• 5.2.3 The Input Database Used For Classification
• 5.2.4 Experimental Results
• 5.3 Discussion
• CONCLUSION
• References
• Acknowledgment