Virtual 3D city model as a priori information source for vehicle localization system

This paper aims at demonstrating the usefulness of integrating virtual 3D models in vehicle localization systems. Usually, vehicle localization algorithms are based on multi-sensor data fusion. Global Navigation Satellite Systems GNSS, as Global Positioning System GPS, are used to provide measurements of the geographic location. Nevertheless, GNSS solutions suffer from signal attenuation and masking, multipath phenomena and lack of visibility, especially in urban areas. That leads to degradation or even a total loss of the positioning information and then unsatisfactory performances. Dead-reckoning and inertial sensors are then often added to back up GPS in case of inaccurate or unavailable measurements or if high frequency location estimation is required. However, the dead-reckoning localization may drift in the long term due to error accumulation. To back up GPS and compensate the drift of the dead reckoning sensors based localization, two approaches integrating a virtual 3D model are proposed in registered with respect to the scene perceived by an on-board sensor. From the real/virtual scenes matching, the transformation (rotation and translation) between the real sensor and the virtual sensor (whose position and orientation are known) can be computed. These two approaches lead to determine the pose of the real sensor embedded on the vehicle. In the first approach, the considered perception sensor is a camera and in the second approach, it is a laser scanner. The first approach is based on image matching between the virtual image extracted from the 3D city model and the real image acquired by the camera. The two major parts are: 1. Detection and matching of feature points in real and virtual images (three features points are compared: Harris corner detector, SIFT and SURF). 2. Pose computation using POSIT algorithm. The second approach is based on the on–board horizontal laser scanner that provides a set of distances between it and the environment. This set of distances is matched with depth information (virtual laser scan data), provided by the virtual 3D city model. The pose estimation provided by these two approaches can be integrated in data fusion formalism. In this paper the result of the first approach is integrated in IMM UKF data fusion formalism. Experimental results obtained using real data illustrate the feasibility and the performances of the proposed approaches.     

Prioritization of failure risk in subsea flexible pipes via data envelopment analysis

Risk-based inspection is nowadays the predominant approach to structural integrity assurance in complex engineering systems, such as those designed for and operated in deepwater environments. One of the major tasks in risk-based planning is risk ranking of the components comprising an engineering system. In this paper, a mathematical model based on data envelopment analysis is developed for this purpose, whereby two types of weights are employed: subjective judgmental weights which are provided as input, and objective which constitute the output of the model. The use of the mathematical model is illustrated in a real world system of subsea flexible pipes, which operational in the south Atlantic Shelf off the Southeast Coast of Brazil.     

船舶结构振动自动测试与数据处理系统

本文介绍船舶结构振动自动测试与数据处理系统的组建及相关的计算机软硬件。使用本系统替代传统的光电和磁带记录仪进行实船结构振动测试，具有实时分析强、操作灵活、便于组成数据库等优点。     

逆向工程技术在检测分析和建模中的应用

利用三维测量仪ATOSⅡ测量系统、点云处理软件Surfacer、三维建模软件UGNX3．0等，以设计效果图的油泥造型或现成实物为对象，结合逆向工程和工业设计特点，对逆向工程速成型在工业设计中的检测分析和建模问题进行了探讨和研究。逆向工程技术已经广泛应用到新产品的开发、旧零件的还原以及产品的检测中，它不仅消化和吸收了实物原型和油泥模型，还能修改再设计以制造出新的产品。     

地理信息系统中数据库间数据交换技术的研究

鉴于地理信息系统中数据交换信息量巨大,提出利用数据交换通信平台(DECP)作为中间层,来实现异构数据库之间的数据传输和交换。DECP由数据访问层、业务逻辑层、安全代理、数据传送代理、客户代理、消息层、事务管理器七个部分组成。DECP所采用的关键技术是基于代理的安全技术、系统调度、异构数据库的访问和事务的调度和管理。     

软岩隧道初期支护沉降变形分析及控制方法

目前存在对软岩隧道初期支护变形的错误认识,造成施工成本的浪费、安全风险的增大、进度被严重制约等不利影响,所以非常有必要对隧道初期支护变形进行研究分析并控制。首先以“矿山法”工程实践证明软岩隧道预留变形量是不必设置的,再通过各种权威文献说明以容许变形来实现围岩自承的观念是对“新奥法”的曲解,是错误的,需要找出支护变形的真正原因并控制。通过总结分析隧道支护常见的6 种位移及其组合,得出为控制初期支护变形需要解决支护底脚地基承载力和支护结构强度2 方面问题。于是建立以“分布锚杆+钢架+喷射混凝土且系统分布锚杆模拟为具有法向和切向作用力的链杆支座的结构力学模型”,可计算出支护结构底脚应力及截面最大应力等值,由此可得出对地基承载力和支护结构强度要求的明确标准,或对改善支护底脚抗力提供数值依据。计算结果表明: 系统分布锚杆能极大地降低支护结构的弯矩、轴力内力和底脚应力,从而增强支护结构的承载力和降低基底应力,使变形和沉降得以有效控制。     

未开放代码整车系统间BOM传递方案研究及应用

整车企业系统之间,因为底层代码不开放,数据结构逻辑未知等困难,无法实现精准对接。致力于通过大数据分析,数据结构排列组合等方法,验证出未开放系统的底层数据逻辑,实现数据关键字段管理。得出工程数据系统关键字段,不仅包含业务信息,还存在内核字段的结论。在无法获知底层封装代码的情况下,找到一条系统间从数据本身研究数据底层逻辑结构的有效论证和系统开发方法,建立精准变更对接管理规则,实现数据快速准确传递。     

一种基于数据挖掘的GIS及在航海中的应用

根据聚类分析方法中密度凝聚的思想，提出一种新的复合聚类分析算法，进一步将这种算法用于地理信息系统的数据挖掘，并应用于船舶航线的自动设计。     

Internet中Peer-to-Peer应用流量测量与分析

Peer to Peer网络(简称p2p)作为一种新型的覆盖网络引起了越来越多研究者的兴趣。本文介绍了在我国进行的骨干互联网上p2p网络流量测量。与现有国外研究不同,本文的数据来源于核心路由器,因此克服了它们的缺陷。其研究集中在汇聚流中的3个周期性尖峰群、不同主机发送或接收流量的重尾分布、p2p流量的长相关特性以及提出了ADTE的估计方法来区分信令和数据流量。本文的研究也显示出Napster在p2p流中占大部分,这暗示着超级节点和阶层式拓扑较纯p2p结构潜在的优势。同时,观察到在我国p2p的流量仅占Internet总流量的1%弱,这个值跟国外的数据有很大区别。我们分析了其中的原因并希望该结论为我国p2p软件的发展提供参考。     

车站通过能力计算中的数据处理方法

采集完备而合理的原始数据是计算车站通过能力的基础。为解决客观环境及人为因素造成采集数据失真和影响可靠性的问题,一方面运用灰色系统理论中的弱化缓冲原理进行数据预处理,即从原始数据序列中提取出显著偏离序列的数据元素,采用二阶缓冲数据处理方法进行数据弱化,并将预处理后的数据对应替代原始数据序列中被提取的数据;另一方面,运用数理统计方法推导占用时间标准计算公式中的权重系数,以权重系数替代传统公式中的简单算术平均数。给出数据预处理方法和确定权重系数的具体步骤,并以重庆站成都方向至到发场第2股道的接车作业占用咽喉时间实际数据处理为例,验证了所给出方法可有效减轻随机扰动对原始数据采集的不利影响,使设备占用时间标准的确定更加合理。