A New Approach to Evidence Combination and Its Application to Targets Recognition in Image Sequence

The classical Dempster's combination rule is the most popular rule of combinations,but it is a poor solution for the management of the evidence conflict at the normalization step.When deal with high conflict information it can even involve counter-intuitive results.Based on evidence distance,some inherent characters of evidences are extracted,and discount method to combine conflicting evidence was proposed.The discount method can be also used to fuse image sequences to recognize targets.Examples show that the proposed method can provide reasonable results with good convergence efficiency.     

基于模型优选及融合的高教园区出行生成预测方法

为了提高高教园区出行生成预测数据的可靠性,提出了一种基于模型优选及融合的出行生成预测方法。根据选取的模型评价指标,借助ELECTRE方法对区域出行产生模型进行优选,利用证据理论方法,对优选模型的权重进行标定,最后借助标定后的权重对区域交通生成量进行数据融合预测,并与实际结果进行了对比。分析结果表明:多模型融合预测相对误差在10%以下,预测结果与实际情况非常接近,该预测方法有效。     

证明标准--客观真实、法律真实与实体真实

诉讼中的证明标准是一个争议颇为激烈的理论问题。本文从比较法的角度，对形成各种证明标准的历史条件和标准环境进行了比较对照，并从诉讼实践的价值取向等角度，对客观真实、法律真实和实体真实的标准加以分析．提出了正当程序的要求之下追求实体真实的必然性，以及强调科学证据与科学证明的必要性等理论观点。     

从“The Ikarian Reefer”一案看专家证人的职责与责任

专家证据是英美法中的一项证据类型。针对在“The Ikarian Reefer”一案中,Cresswell大法官对7条专家证言守则的分析,说明了专家证人的职责和责任,并结合我国的法律,提出了对我国鉴定人的几点职责要求。     

Pedestrian crossing detection based on evidential fusion of video-sensors

This paper introduces an online pedestrian crossing detection system that uses pre-existing traffic-oriented video-sensors which, at regular intervals, provide coarse spatial measurements on areas along a crosswalk. Pedestrian crossing detection is based on the recognition of occupancy patterns induced by pedestrians when they move on the crosswalk. In order to improve the ability of non-dedicated sensors to detect pedestrians, we introduce an evidential-based data fusion process that exploits redundant information coming from one or two sensors: intra-sensor fusion uses spatiotemporal characteristics of the measurements and inter-sensor fusion uses redundancy between the two sensors. As part of the EU funded TRACKSS project on cooperative advanced sensors for road traffic applications, real data have been collected on an urban intersection equipped with two cameras. The results obtained show that the data fusion process enhances the quality of occupancy patterns obtained and leads to high detection rates of pedestrian crossings with multi-purpose sensors in operational conditions, especially when a secondary sensor is available.     

车辆与行人碰撞痕迹鉴定在逃逸事故中的应用

随着公路基础建设的完善,汽车工业的快速发展,道路交通逃逸事故也在日益增多,这一现象严重损坏人民群众的利益,对社会造成恶劣形象.道路交通逃逸事故分析是个情况复杂且涉及面较广的过程,本文通过两例道路交通逃逸事故案例,通过对涉嫌车辆痕迹分析比对为基础,根据具体情况制定不同的勘查方案,并结合多种司法鉴定项目,对嫌疑车辆进行科学...     

车辆导航系统中地图匹配的研究

分析影响地图匹配实时性、鲁棒性和匹配精度的因素,针对常用投影法,概率统计法、相关性算法、基于网络拓扑以及基于曲线拟合的地图匹配算法进行描述,并针对基于D-S证据推理的地图匹配算法.匹配误差比较大的转弯路段,平行路段以及立交桥路段进行分析并且给出匹配漉程.通过实验仿真表明本文算法对复杂路口有较好的适应性和较高的匹配精度.     

基于证据理论的长大公路隧道火灾风险评价模型

在总结现有隧道防火及救难策略的基础上,研究长大隧道的火灾特点,分析了长大公路隧道中引发火灾事故的原因、隧道中安全设施水平及安全设施运作模式需具备的基本要求,并在此基础上提出具有普遍评价意义的指标体系,包括隧道火灾安全系统、运输与管理政策、隧道技术条件、应急救援水平以与社会救援能力在内的5个一级指标及23个二级指标,利用证据理论处理糊模信息的特点,建立了基于证据理论的长大公路隧道风险的评估模型,并举例说明其应用过程.     

基于物元理论和证据理论的盾构隧道施工邻近建筑物风险评价

随着城市地铁建设规模的扩大,隧道施工对邻近建筑物基础土体的沉降变形有很大的影响,为实现对隧道施工邻近建筑物的安全风险评价,基于大量工程实践,从隧道工程条件、土质条件、建筑物自身条件、施工方法及管理水平四方面提出了涵盖19个因素的评价指标体系,并将其划分为五个等级,提出一套基于物元理论和证据理论的安全评价方法,以物元理论计算关联度作为基本可信度分配,再基于证据理论进行融合得到最终安全状态,并基于蒙特卡洛原理确定敏感性因素。以武汉轨道交通2号线隧道邻近的6栋建筑物为例,对其进行安全风险评价和敏感因素确定,得出1栋建筑物状态较危险,1栋建筑物状态较安全,4栋建筑物状态安全的结论,并通过敏感性分析得出覆跨比、地层损失、泊松比、上部完损情况和管理水平对该区域建筑物的影响较为敏感,这为有针对性地提出改进措施提供了依据。     

On fault isolation for rail vehicle suspension systems

Reliability of the railway vehicle suspension system is of critical importance to the safety of the vehicle. It is very desirable to monitor the health condition and the performance degradation of the suspension system online, which offers the important information of the suspension system and is critically important for the condition-based maintenance rather than scheduled maintenance in the future. Advanced fault diagnosis method is one of the most effective means for the health monitoring of the suspension system. In this paper, taking the lateral suspension system as an examcple, the fault isolation issue for different component faults occurring in the suspension system is concerned. The sensor configuration for obtaining the vehicle state information and the mathematical model for the lateral suspension system are presented. Four fault features in the time domain and three fault features in the frequency domain are used for each sensor signal. Three different methods, Dempster–Shafer (D–S) evidence theory, Fisher discrimination analysis (FDA) and support vector machine (SVM) techniques are applied to the fault isolation problem. Simulation study is carried out by means of the professional multi-body simulation tool, SIMPACK. The simulation results show that these methods can isolate the considered component faults effectively with a high accuracy. The D–S evidence-based fault isolation approach outperforms the other two methods.