停车位空中监控系统设计

停车位空中监控系统设计(开题报告,论文11000字)
摘  要
本文首先对当前停车位监控平台的发展现状进行了介绍，分析了当前采用的基于非视觉传感器与基于机器视觉的停车位监控的方各自的优缺点，并介绍了发展停车位空中监控平台的现实意义及优势所在。本文首先简要介绍四旋翼飞行器的飞行控制原理，介绍了停车位空中监控系统的硬件选型。选用OpenMV镜头模组，在其自带的IDE里进行程序编写、烧录，用Hough变换检测直线后确定角点从而实现车位识别，寻找色块后结合Canny边缘检测确定车辆位置进而实现停车状态检测，然后将采集到的停车位位置信息和车辆轮廓信息相对比判断车辆在车位上的停放状态，并通过串口连接无人机上的数传模块与上位机通信传回停车位上车辆的实时停放信息。实验结果表明本文搭建的停车位空中监控平台可以完成对停车位上车辆的实时停放状态的监控，检测结果具有较高的准确性。
关键词：四旋翼飞行器    Hough变换    车位识别    Canny边缘检测    违停算法

Design of Aerial Monitoring System for Parking Space
Abstract
   This paper first introduces the current development status of parking space monitoring platform, analyzes the advantages and disadvantages of current non-visual sensors and machine vision-based parking space monitoring, and introduces the reality of developing parking space aerial monitoring platform. Meaning and advantage. This paper first briefly introduces the flight control principle of the four-rotor aircraft and introduces the hardware selection of the parking space air monitoring system. Using OpenMV lens module, programming and burning in its own IDE, using Hough transform to detect the line and then determining the corner point to realize the parking space recognition. After finding the color block, combined with Canny edge detection to determine the vehicle position and realize the parking state detection. Then, the collected parking space position information and the vehicle contour information are compared to determine the parking state of the vehicle on the parking space, and the serial transmission module connected to the drone is connected to the host computer through the serial port to transmit the real-time parking information of the vehicle on the parking space. . The experimental results show that the parking space aerial monitoring platform built in this paper can complete the real-time parking status monitoring of vehicles on the parking space, and the detection results have high accuracy.
Key Words: UAV; Hough transformation; Parking lot identification; Canny edge Detection; Violation algorithm
 
本课题将四旋翼作为监控系统的核心，构建一个移动式停车位监控平台，从而替代人高效完成停车位巡查任务。四旋翼飞行器采用STM32F407 ARM芯片作为飞行控制核心，搭载了飞行姿态采集模块，超声波测距模块，电机驱动模块等，首先实现飞行器平稳飞行。通过机载摄像头OpenMV采集地面上的汽车、停车线信息，然后对图像进行分析处理，判断车辆是否违规停放，并将相关信息返回至地面控制终端。

目  录
摘  要    I
Abstract    II
第一章    引言    1
1.1课题研究的背景和意义    1
1.2停车位监控的国内外研究现状    1
1.2.1基于非视觉传感器的检测方法    1
1.2.2基于视觉传感器的检测方法    2
1.3课题的主要研究内容和目标    4
1.4论文的章节安排    4
第二章    停车位空中监控系统概述    5
2.1停车位空中监控系统的概念    5
2.2停车位空中监控系统的规划设计    5
2.2.1空中监控平台    5
2.2.2视觉模块    6
2.2.3车位及车辆信息的提取    6
2.2.4违停算法的设计    6
2.2.5监控平台与上位机通信    7
2.3本章小结    8
第三章    停车位和车辆检测    9
3.1停车位检测    9
3.1.1车位线检测    10
3.1.2车位角点提取    11
3.1.3车位坐标标定    12
3.2车辆检测    14
3.2.1车辆有无判定    15
3.2.2车辆轮廓提取与标定    17
3.3实验与分析    18
3.3.1停车位检测    18
3.3.2车辆检测    19
3.4本章小结    19
第四章    违停算法设计    20
4.1违停算法设计    20
4.2实验与分析    22
4.3本章小结    22
第五章    总结与展望    23
5.1总结    23
5.2展望    23
参考文献    25
致  谢    26