无人飞行器的输电线路综合检测系统研制

研制了一种可安装于飞艇、无人飞机等无人飞行器的输电线路巡检系统,可同时实现可见光检测、红外光检测、紫外光检测和基于图像测量技术的测距等功能.带有无人飞行器经纬度、海拔、飞机以及时间等字幕信息的可见光、红外、紫外视频图像被存入机载检测系统硬盘,也可以实时传回地面站,地面操作人员可通过地面控制平台远程控制机载检测系统,从而...     

基于Linux平台的智能监控和运动检测系统

采用ARM9和DSP双核CPU,以ARM9为控制器,通过TCP中的socket机制来建立网络通信,将摄像头采集的视频图像信息,传送给DSP处理器,处理后的数据在客户端进行解码显示.分析了一些热门的运动目标检测技术,并利用MATLAB进行了相应的实验验证,然后将核心算法代码移植到DaVinci嵌入式系统中.为实现运动目标检测算法在DaVinci嵌入式平台的运行,将嵌入式视觉库EMCV移植到DM6446平台,并在此基础上完成检测算法的集成工作,为了进行视频信息的远程显示,在系统软件的基础上还增加了视频编码及网络传输任务,实验结果表明,改进的VIBE算法在智能监控和运动目标检测具有良好的检测效果.     

图像能见度检测方法研究综述

在各种交通事故中，由雾霾等恶劣天气导致能见度降低引发的交通事故占比逐年增多，因此恶劣天气下能见度的检测成为一个亟待解决的问题。本文根据提取特征方式的不同，不仅将能见度检测的方法分为视觉检测法、仪器设备检测法和图像算法检测法，还归纳出能见度检测方法的发展历程。在分析和对比基于深度学习的能见度检测方法基础上，提出将最新的深度学习算法引入能见度检测是后续研究的重点。最后，总结现有能见度检测方法的不足和局限性，指出未来进一步研究的方向。     

基于视频图像的道路车流检测系统

以静止单孔摄像机获取的交通场景视频作为研究对象,对高斯背景提取及自适应更新、车辆检测等技术进行了研究和分析,完成了一个基于视频图像的车流检测模型系统的设计,并通过Matlab仿真实现了基于高斯背景建模的车流检测及跟踪。     

一种利用边缘方向直方图检测绝缘子的方法

在图像/视频中自动检测和定位绝缘子是绝缘子故障诊断重要前提,但是目前还没有高效的、成本较低的检测绝缘子方法。本文提出了一种利用边缘方向直方图定位绝缘子的方法。首先,分别计算图像子块和模板的边缘方向矢量,并通过矢量变换得到变形模板的边缘方向矢量;之后,针对分块的图像,通过模板与之边缘方向矢量匹配,得到绝缘子的候选区域;而后,对候选区域进行连续性判断,从而实现绝缘子的准确定位。实验表明该算法能够较好地在图像/视频中检测和定位绝缘子。     

基于YOLOv5的高速公路小目标车辆逆行检测模型

针对高速公路视频数据中道路场景复杂、远端车辆目标小等现象,导致车辆逆行检测模型准确率低的问题,提出了一种基于YOLOv5和DeepSORT的CECAY5D模型框架。框架中设计了一种通道-空间注意力单元CECAC3,用于增强模型对小目标聚集区域的关注程度,提升小目标车辆检测的精度。CECAC3注意力单元是在有效通道注意力模块基础上增加了C3残差模块和空间注意力模块。在高速公路车辆逆行视频数据集下进行对比试验,实验结果表明,逆行检测模型CECAY5D在高速公路监控视频下的检测率和漏检率分别为90%和10%,相比于YOLOv5+DeepSORT模型,检测率提高了25%,漏检率降低了25%,因此该模型具有较高的检测率和较低的漏检率。     

变电站视频监控系统的行为功能设计与实现

为了解决变电站视频监控系统中大量视频图像的困扰,在系统中采用了行为识别技术.将输入的压缩视频流解码,生成图像数据,再对图像数据进行识别.识别内容包括:指定区域是否存在运动物体;是否有物体越过警戒线;进入变电站的工作人员是否戴红色安全帽.如果当前图像存在上述某一个或多个行为的检测信息,则在监视界面上给出提示,并采用多种方式处理相应信息.实际应用表明,系统实现效果达到了设计的期望.     

交通信息视频检测系统设计

介绍了一种基于DSP的交通信息视频检测系统,包括其硬件组成和软件设计。为采集道路上的视频信号并经过DSP芯片处理得到用户需要的交通信息,系统采用了基于虚拟线检测的方法计算交通信息参数。该系统能够实时地检测交通参数,可广泛应用于智能交通系统中。     

基于图像处理和数字视频技术的锅炉多路火焰检测系统

基于数字视频图像处理和传像光纤,开发了一套煤粉火焰监视系统。系统采用工程师工作站／层火焰检测器通讯方式实现对多路火焰信号的巡回检测和处理,实现了基于多线程的并行多任务机制和流式视频存储的事故画面回放功能。通过图像序列的特征提取实现火焰的ｏｎ／ｏｆｆ判据,提出基于彩色ＣＣＤ信号的伪彩色温度场计算办法,开拓了视频多媒体技术在燃烧可视化研究的应用领域,该系统不但可在实际生产中使用,并为离线研究火图像 列     

DSP嵌入式炉膛火焰图像检测处理系统

基于火焰图像检测处理技术的锅炉燃烧监控系统对实时性，稳定性有较高要求，设计的DSP嵌入式火焰图像处理系统采用同步FIFO作为视频数据缓冲方案，通过PCI总线完成与主机系统的通信任务，大大提高了火焰图像检测处理速度，图像检测处理过程不占用主机资源，提高了锅炉燃烧监控系统的实时性和稳定性。     

降雨天气下停车视距模型与安全限速分析

降雨导致交通事故频发.分析了降雨对能见度、道路摩擦系数等产生的影响,比较AASHTO,NCHRP停车视距模型,通过停车视距模型得到了不同水膜厚度,不同能见度下的安全限速值.在降雨天气下,对易发生交通事故的路段提出了可变限速控制,采用逐级限速的标准,使汽车从高速区即将驶入异常事故多发路段时之前可以有充分的时间和距离来降低车速,用来提高汽车在雨天行驶的安全性,可以有效避免交通事故的再次发生,提高高速公路对异常情况的应变能力.     

Real-time disparity contrast combination for onboard estimation of the visibility distance

An atmospheric visibility measurement system capable of quantifying the most common operating range of onboard exteroceptive sensors is a key parameter in the creation of driving assistance systems. This information is then utilized to adapt sensor operations and processing or to alert the driver that his onboard assistance system is momentarily inoperative. Moreover, a system capable of either detecting the presence of fog or estimating visibility distances constitutes in itself a driving assistance. In this paper, the authors present a technique to estimate the mobilized visibility distance through a use of onboard charge-coupled device cameras. The latter represents the distance to the most distant object on the road surface having a contrast above 5%. This definition is very close to the definition of the meteorological visibility distance proposed by the International Commission on Illumination. The method combines the computations of local contrasts above 5% and of a depth map of the vehicle environment using stereovision within 60 ms on a current-day computer. In this paper, both methods are described separately. Then, their combination is detailed. The method is operative night and day in every kind of meteorological condition and is evaluated; thanks to video sequences under sunny weather and foggy weather.     

Ultrasonic vehicle detector for side-fire implementation andextensive results including harsh conditions

Concerns vehicle detectors, which collect passing vehicle information and traffic condition in real time. This paper develops an ultrasonic vehicle detector (UVD) system that can be implemented in a side-fire configuration. Conventionally, UVD systems are installed in overhead configurations. If these sensors can be mounted from the side of a road, the installation cost can be reduced. In addition, the aesthetic integrity of roadways will not be affected very much. However, this side-fire configuration has not been used, because of the fact that vehicles generally do not have sufficiently large oblique-angled surfaces to reflect the emitted ultrasonic wave back to the sensor for detection. This paper reports on the feasibility of a side-fire UVD system. A new low-cost instrumentation and control system for side-fire implementation was developed, and comprehensive experiments were performed at highway and downtown test sites. Experimental conditions included various traffic conditions as well as various weather conditions, including daylight, dusk, night, heavy rain, and heavy snow. Traffic data were generated for every five minutes. For the highway location, the vehicle counting error was less than 1%. For the downtown location, the error was approximately 3% during normal weather conditions and approximately 5% during a snow storm. The larger error in downtown is mainly attributed to vehicles changing lane. We believe that these side-fire implementation results are adequate for implementing advanced traveler information systems (ATIS)     

一种民用实时监控系统研究与设计

随着我国经济的发展和社会的进步,机动车辆投放数量日益增加,干线公路交通量呈迅速增长,交通拥挤堵塞现象日趋严重变通事故频繁发生,安全交通、交通管理迫切需求对公路通行状态进行实时检测、信息发放。根据目前航空领域成熟的军用实时监控技术提出了一种民用实时监控系统,分析研究车辆识别技术,实现交通信息的实时数据采集,用于车流量分析以及交通阻塞预警,完成对采集的数据进行分析与信息发布,具有广阔的应用前景。     

基于ZigBee的高速公路气象信息采集系统设计

为解决因高速公路气象变化而导致交通事故频发的问题,提出了利用ZigBee无线通讯技术,以STM32W108为主控制器的高速公路气象信息采集系统。主要由主控制中心与其附属的多个小型气象信息数据采集器通过ZigBee无线通讯相连所构成。每个子节点将所采集到的气象数据上传至主控制中心。经过对气象数据进行分析处理后,对有特殊气象情况的路段发出警示信息,从而及时的提醒驾驶员,以达到安全驾驶的目的。     

基于CCD传感器的车载式路灯光谱检测系统

介绍1种车载式路灯光谱检测系统,与传统的测量方法相比测量效率大大提高,同时降低交通安全隐患,保证了测量人员的人身安全。本套系统基5-CCD（Charge-coupled Device,电荷耦合器件）传感器,实现了车载式测量道路色温、显色指数、色坐标等色度学参数,并且可以动态密集测量。系统引入九余弦修正器,凹面衍射光栅等技术,进一步提高系统的测量效率和精度,为道路照明检测提供了准确高效的工具。     

车辆排队事件的检测方法及系统

基于GPS数据并结合大数据分析的专利算法,实现了一个完整的智能交通系统。系统功能包括:检测识别道路上的车辆拥堵排队事件,区分道路上车辆排队的位置(路口或者道路中央),计算车辆队列长度和队列的行进方向(包含左转车队)。提出用于计算队列长度及识别排队事件和队列起始位置的数据分析算法,基此建立了一种实时交通监测系统的框架,用于发布车辆队列的实时动态。本检测方法能用于指导交通管理部门合理设置交通信号灯,实时全面地掌控关键路口的车辆通行情况和更加及时高效地疏导交通。     

Using sensor networks for highway and traffic applications

Wireless sensor networks have been used for a variety of applications. However, many highway and traffic applications have not been tapped, primarily sensor networks for highway and traffic algorithms that alleviate generic problems such as highway congestion. This is due to the fact that sensor network technology is a very recent development. Since sensor networks are relatively new, not many applications have been explored in depth. Utilizing the new generation of TinyOS micaboard mote sensors, miniaturized sensors that utilize TinyOS, an event-based operating environment written in code similar to stylized C, the article focuses on how to achieve the best possible data results from sensor network applications and setups for traffic/highway goals. How to use sensor-network graphs for optimal placement of sensors in a network so as to minimize work and to achieve the best possible, and most accurate, signal-strength localization measurements is also be a primary focus. Also discussed is a method that optimizes the tradeoff between energy and accuracy using a variety of activation policies. Finally, simulations and distancing experiments of indoor and outdoor data are provided to encourage similar sensor work.     

Automated highway systems

Currently, intelligent transportation systems are being developed and implemented in various forms. Advanced traffic management systems (ATMS), automatic traveler information systems (ATIS) and driver support systems are all a reality today. However, many challenges remain on the road to realizing a fully automated highway system (AHS). The complexity of developing large distributed systems such as AHS has raised warning flags in the computer science community. Unexpected complex interactions between the software and hardware can induce errors that can be fatal. The authors argue that these issues should provide a cautionary note to practicing engineers before deploying a fully automated highway system