基于Multigen Creator和Vega的"数字校园"演示系统开发

为了展示武汉大学美丽的校园风貌 ,充分利用我校新近引进的虚拟现实系统 ,开发了一个“数字校园”演示系统 ,实现了虚拟现实表现的基本功能。介绍了该演示系统的有关技术细节 ,包括系统构成、数据处理流程和应用软件的二次开发技术等     

New-Level VR Marine Training System

Marine simulator is a valuable and effective medium for maritime education and training and is becoming widespread to foster the qualified and competent personnel for working in the maritime industry.However,many problems with most marine simulation systems today limit their pervasive use:the limited accessibility,immobility,the high expenditure,the long develop- meat cycle,and the difficult maintenance etc.A web-based maritime training environment is proposed in this paper as a new ma- rine training level,which fully combining web technology,VR,high fidelity simulation,and e-learning tools to create a more cost- effective and flexible training environment still with very realistic and high-interactive simulation characteristics,the system will provide a consistent and more flexible training medium for improving maritime education and training.     

基于三维实景模型公路桥梁BIM正向设计研究

采用Midas CIM桥梁三维正向设计软件,依托濮阳至聊城高速公路卫城枢纽主线跨线桥工程,基于三维实景模型开展节点桥梁BIM正向设计。将三维模型输出的钢箱梁关键指标与传统二维设计模式输出的结果进行对比分析,结果表明三维正向设计结果可靠,可实现设计阶段BIM模型向施工阶段数字化交付。     

虚拟现实技术在汽车工业中的应用

介绍了虚拟现实技术在汽车产品设计、汽车制造及其试验中的应用,并阐述了其发展前景。     

煤炭码头三维可视化管控系统研究与应用

基于虚拟现实技术、信息技术、网络技术等,构建煤炭码头三维可视化管控系统。通过与信息管理系统生产运营数据的对接,在网络环境下,实现煤炭码头生产运营状态的实时展示和实时信息查询,以及生产运营过程中设备的快速定位及紧急报警。该系统可为煤炭码头管理人员提供直观的、可交互的辅助港口运营分析、决策的平台。通过在黄骅港煤炭码头的工程应用验证了该系统的先进性和实用性。     

虚拟人的运动建模与仿真

依据人体的关节连接体层次结构,将各肢体抽象为简单的刚性几何实体,并运用VRML构建了人体骨骼模型的样本.各肢体的骨骼模型可在此样本模型的基础上经变换而获取;为了描述人体骨骼模型中各关节之间的相对位置和姿态的变化, 本文定义了3类坐标系,并详细论述了求解各关节点运动参数方法;最后利用VRML构建了一个虚拟人体骨骼运动的实例.     

船舶操纵模拟系统视景多通道同步技术研究

介绍船舶操纵训练系统视景的体系结构,提出视景多通道同步的要求及其技术实现的方法,采用多线程结构及推算定位等技术实现多通道同步,使通道帧数差在2帧以内,各通道产生的画面达到同一时刻同一视点产生的效果.     

面向国产大型邮轮的虚拟设计评审方案研究

本文分析了国内大型邮轮三维设计模型的虚拟评审需求,基于Intergraph Smart 3D和SmartPlant Review软件,提出了国产大型邮轮虚拟设计评审的总体解决方案。该方案采用三维模型轻量化、模型虚拟评审以及大型邮轮设计-评审数据转换等关键技术,实现了面向大型邮轮设计的沉浸式三维模型全流程虚拟评审,并通过在国产大型邮轮设计模型上的应用测试,验证了该方案的可行性,可为提高大型邮轮设计生产效率、缩短建造周期以及降低生产成本等提供重要的技术支撑。     

基于VRML的虚拟现实技术在数字管道中的应用

介绍了虚拟现实建模语言(VRML),将基于VRML的虚拟现实技术和HTML、 JavaScript相结合,并应用到数字管道中,构建了真实感强、交互性强的可视化虚拟石油管道场景和管道泄漏模型,实现了石油管道虚拟场景的漫游,以及用户与虚拟场景的交互,并及时、直观地反映管道泄漏.应用结果表明:将基于VRML的网络交互式虚拟现实技术应用到数字管道,促进了数字管道的信息共享,提高了数字管道的决策管理效率.     

Augmented Reality Vehicle system: Left-turn maneuver study

Augmented Reality “AR” is a promising paradigm that can offer users with real-time, high-quality visualization of a wide variety of information. In AR, virtual objects are added to the real-world view in real time. The AR technology can offer a very realistic environment for enhancing drivers’ performance on the road and testing drivers’ ability to react to different road design and traffic operations scenarios. This can be achieved by adding virtual objects (people, vehicles, hazards, and other objects) to the normal view while driving an actual vehicle in a real environment. This paper explores a new Augmented Reality Vehicle “ARV” system and attempts to apply this new concept to a selected traffic engineering application namely the left-turn maneuver at two-way stop-controlled “TWSC” intersection. This TWSC intersection experiment, in addition to testing the feasibility of the application, tries to quantify the size of gaps accepted by different driver’s characteristics (age and gender). The ARV system can be installed in any vehicle where the driver can see the surrounding environment through a Head Mounted Display “HMD” and virtual objects are generated through a computer and added to the scene. These different environments are generated using a well defined set of scenarios. The results from this study supported the feasibility and validity of the proposed ARV system and they showed promise for this system to be used in the field-testing for the safety and operation aspects of transportation research. Results of the left-turn maneuver study revealed that participants accepted gaps in the range of 4.0-9.0 s. This finding implies that all gaps below 4 s are rejected and all gaps above 9 s are likely to be accepted. The mean value of the left-turn time was 4.67 s which is a little bit higher than reported values in the literature (4.0-4.3 s). Older drivers were found to select larger gaps to make left turns than younger drivers. The conservative driving attitude of older drivers indicates the potential presence of reduced driving ability of elderly. Drivers’ characteristics (age and gender) did not significantly affect the left-turn time. Based on the survey questions that were handed to participants, most participants indicated good level of comfort with none or small level of risk while driving the vehicle with the ARV system. None of the participants felt any kind of motion sickness and the participants’ answers indicated a good visibility and realism of the scene with overall good system fidelity.