卸船机桥架制造工艺和检测要素规范的优化

为了提高卸船机桥架的制作质量,对桥架制作工艺进行了改进。从桥架拱度控制、工作顺序控制等5个方面介绍了工艺改进的内容。并介绍了桥架检测要素的规范选定。     

兰州北编组站视频监控系统应用研究

视频监控系统是编组站重要的安全监控系统,以兰州北编组站的视频监控系统为背景,详细阐述了编组站视频监控系统的功能需求与应用,并为今后的大型编组站视频监控系统建设提供参考.     

Impact of telecommuting and intelligent transportation systems on residential location choice

The impacts of telecommuting and intelligent transportation systems (ITS) on urban development patterns were investigated in terms of households' residential location choice decisions. A discrete choice modelling approach framework was used. A stated preference (SP) logit analysis was carried out to estimate the parameters of the utility function. An attitude survey of employees of selected public and private sector organizations in the Ottawa-Carleton Region (Canada) yielded the required data for model estimation. In addition to obtaining background information, the survey elicited SP responses by presenting a number of hypothetical residential choice scenarios defined according to the principles of SP experimental design. Results show that telecommuting and ITS measures are highly significant factors in the residential choice model. This leads to the conclusion that these reinforce dispersed residential patterns and encourage moves towards outlying sites. Implications of this conclusion for urban land development planning are noted.     

The pros and cons of Intelligent Speed Adaptation as a restrictive measure for serious speed offenders

In 2011 in the Netherlands a field operational test was performed to investigate the possibility of using restrictive Intelligent Speed Adaptation (ISA) as a penalty system for serious speed offenders. This paper presents the overall results of the research focusing on the pros and cons of the use of ISA as a restrictive measure for serious speed offenders, and on the preconditions for deployment. The results showed that the ISA systems tested have a huge effect on driver behavior and have the potential to improve road safety by reducing the level of speeding, mean speed, as well as the standard deviation of speed. However, there are also cons: the behavioral change in driving behavior was only temporary. In addition the tested technology proved too easy to override, raised issues of equity, and a substantial back office is required when implementing the system for serious speed offenders.     

Autonomous vehicle perception: The technology of today and tomorrow

Perception system design is a vital step in the development of an autonomous vehicle (AV). With the vast selection of available off-the-shelf schemes and seemingly endless options of sensor systems implemented in research and commercial vehicles, it can be difficult to identify the optimal system for one’s AV application. This article presents a comprehensive review of the state-of-the-art AV perception technology available today. It provides up-to-date information about the advantages, disadvantages, limits, and ideal applications of specific AV sensors; the most prevalent sensors in current research and commercial AVs; autonomous features currently on the market; and localization and mapping methods currently implemented in AV research. This information is useful for newcomers to the AV field to gain a greater understanding of the current AV solution landscape and to guide experienced researchers towards research areas requiring further development. Furthermore, this paper highlights future research areas and draws conclusions about the most effective methods for AV perception and its effect on localization and mapping. Topics discussed in the Perception and Automotive Sensors section focus on the sensors themselves, whereas topics discussed in the Localization and Mapping section focus on how the vehicle perceives where it is on the road, providing context for the use of the automotive sensors. By improving on current state-of-the-art perception systems, AVs will become more robust, reliable, safe, and accessible, ultimately providing greater efficiency, mobility, and safety benefits to the public.     

基于HLA的智能交通信息试验平台研究

从智能交通信息平台的概念出发,研究利用已有的智能交通系统资源建立智能交通信息试验平台。首先对比分析了已有的平台体系结构开发方法,即面向过程的开发方法和面向对象的开发方法,两者都已不能适应复杂大系统的开发需求。通过引入计算机建模与仿真领域的HLA（高层体系结构）技术,创造性地提出了基于HLA的体系结构开发方法,结合信息试验平台需求分析,设计了智能交通信息试验平台的逻辑结构。平台分4层来组织,分别是基础数据层、数据库层、应用服务层和用户主体层,在若干接口程序的衔接下,各类联邦成员协同作用以实现信息平台的功能。结合现有的技术设备条件,实现了信息平台的物理连接。平台搭建后运营正常,已接入信息平台的ITS系统包括车载导航系统和城市商用车辆调度系统,并为其他子系统的接入预留了接口。     

智能车辆安全辅助驾驶技术研究近况

论述了安全辅助驾驶技术的研究现状、研究的必要性以及研究进展。安全辅助驾驶技术包括车道偏离预警与保持、前方车辆探测及安全车距保持、行人检测、驾驶员行为监测、车辆运动控制与通讯等。分析了各种传感器的优缺点及其在实际应用过程中存在的问题,基于单一传感器不能很好地解决安全辅助驾驶技术可靠性和环境适应能力的要求,应结合激光雷达技术解决图像模糊问题,利用红外传感器增强机器视觉识别的可靠性,未来的安全辅助驾驶技术应该采取多种传感器融合的技术,结合毫米波雷达和激光雷达系统具有深度测量精确的特点,将极大的推动汽车安全辅助驾驶系统的应用和推广。     

多尺度图像边缘检测技术在车辆识别中的应用

指出了图像边缘检测的定义及现有算法的不足,并对Canny边缘检测离散准则及该准则下的最优线性滤波器进行了论述。根据边缘检测离散准则,利用数值方法求出该准则下边缘检测的最优线性滤波器及对应的平滑算子,将其与Canny边缘检测技术相结合进行边缘检测,检测出不同尺度下多幅边缘图像,并根据小尺度下图像边缘细节信息丰富、边缘定位精度高,大尺度下图像边缘稳定、抗噪性好等特点,将检测到的多尺度边缘进行融合,得到抗噪性好的精确的单像素宽边缘;同时将该方法应用于汽车特征提取,检测到完整连续的汽车边缘图像,为车型识别提供条件。试验结果表明:该方法不仅能准确检测出图像边缘,而且能有效地抑制噪声,是边缘检测的实用方法。     

基于机器视觉的智能车辆前方道路边界及车道标识识别方法综述

为了全面了解国内外在基于机器视觉的智能车辆前方道路边界及车道标识识别领域的研究进展，文章介绍了近年来一些典型的基于机器视觉的道路边界及车道标识识别系统，对基于机器视觉的前方道路边界及车道标识识别方法进行了分类，对各大类方法中采用的不同技术进行了阐述，然后对基于机器视觉与其他传感器融合的识别方法进行了总结，最后就该领域的研究难点及发展趋势进行了简要论述。     

智能交通系统及其车辆自动控制技术

本文简要介绍了智能交通系统的概念、发展状况、基本内容和研究开发过程，进一步阐述了智能交通系统中的先进车辆控制技术。综述了汽车纵向控制、横向控制、自动驾驶及车列控制。最后，对我国如何发展智能交通系统和先进车辆自动控制技术进行了探讨。