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3d data visualization system of immersive underground laboratory

SUSTAINABLE CITIES ANd SOCIETY 2019年 46卷 101439-000页

作者： Hou Jia-xin Wu Ya-dong Xu Yang-jie Li Xue-jun Wang Song Wang Fu-pan Zhang Xiao-rong Southwest Univ Sci & Technol Coll Comp Sci & Technol Mianyang 621010 Peoples R China Sichuan Normal Univ Coll Film & Media Chengtu 610068 Peoples R China

The construction of underground laboratories is a key step in the deep geological disposal of high-level radioactive waste. due to the complex construction structure of underground laboratory engineering and the difficulty of project implementation, how to effectively plan, design and evaluate underground laboratory construction projects is an important issue in the construction of underground laboratories. Based on geometric structure, topological relationship and geological semantics, this paper integrates multi-source data from underground laboratories and constructs a 3d digital model of underground laboratory. The 3d data visualization system of underground laboratory of immersed high-level waste geological disposal was constructed by using terrain automatic generation algorithm, perspective and section in 3d model visualization, and immersive interactive means of viewpoint positioning. The experimental results show that the system can provide an intuitive interactive means for the comprehensive analysis of underground laboratory data, and provide reference for the demonstration of underground laboratory engineering construction planning and design.

关键词： Immersion Underground laboratory 3d modeling 3d data visualization Perlin noise

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Investigating the Use of Spatial Interaction for 3d data visualization on Mobile devices 17

Investigating the Use of Spatial Interaction for 3D Data Vis...

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12th ACM International Conference on Interactive Surfaces and Spaces (ACM ISS)

作者： Bueschel, Wolfgang Reipschlaeger, Patrick Langner, Ricardo dachselt, Raimund Tech Univ Dresden Interact Media Lab Dresden Dresden Germany

ISBN: (纸本)9781450346917

Three-dimensional visualizations employing traditional input and output technologies have well-known limitations. Immersive technologies, natural interaction techniques, and recent developments in data physicalization may help to overcome these issues. In this context, we are specifically interested in the usage of spatial interaction with mobile devices for improved 3d visualizations. To contribute to a better understanding of this interaction style, we implemented example visualizations on a spatially-tracked tablet and investigated their usage and potential. In this paper, we report on a qualitative study comparing spatial interaction with in-place 3d visualizations to classic touch interaction regarding typical visualization tasks: navigation of unknown datasets, comparison of individual data objects, and the understanding and memorization of structures in the data. We identify several distinct usage patterns and derive recommendations for using spatial interaction in 3d data visualization.

关键词： 3d data visualization Immersive visualization Mobile devices Spatial Input Tangible displays

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Patient 3d data Visualisation with AR-based Interactive Technology for Brain MRI 7

Patient 3D Data Visualisation with AR-based Interactive Tech...

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7th IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR)

作者： Pareek, Vishakha Sharma, Shreyansh Singh, Vibhor Singh, Shashwat Indian Inst Technol Jodhpur Technol Innovat Hub iHub Drishti Jodhpur Rajasthan India Indian Inst Technol Jodhpur Dept Comp Sci & Engn Jodhpur Rajasthan India JECRC Univ Dept Comp Sci & Engn Jaipur Rajasthan India

ISBN: (纸本)9798350351439;9798350351422

Effective 3d patient data visualization for brain MRI is required in surgical planning and in-situ guidance during brain tumor resection. Traditional 2d displays do not possess depth perception and are poor in understanding complex anatomical structures being displayed in 3d. In this work, an interactive visualization system based on augmented reality is presented, which provides an intuitive and truly immersive way to visualize and interact with 3d brain MRI data as preoperative planning and in-situ guidance by a surgeon during tumor resection procedures of the brain. In this work, we propose a system where AR devices can render patient-specific 3d brain models, reconstructed from MRI data, in a spatially registered way to the surgical field. These 3d virtual models can be interacted by the surgeon, through the natural use of controls, to study the spatial relationship of critical structures such as tumors, ventricles, and functional brain regions. Advanced volume rendering and multi-modal data fusions are used in creating photorealistic 3d visualizations with high anatomical detail.

关键词： Augmented Reality (AR) Magnetic Resonance Imaging (MRI) Brain Tumour 3d data visualization

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EXTENSIBILITY ANd INTEGRATION OF TOOLS FOR 3d data visualization ANd ANALYSIS 24

EXTENSIBILITY AND INTEGRATION OF TOOLS FOR 3D DATA VISUALIZA...

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24th International Crimean Conference Microwave & Telecommunication Technology (CriMiCo)

作者： Golubyatnikov, T., V Porshnev, S., V Ural Fed Univ Inst Radio Engn & Informat Technol 32 Mira Str Ekaterinburg 620002 Sverdlovsk Reg Russia

ISBN: (纸本)9789663354125

The present paper concerns the results of the analysis of the possibilities of integration and expansion of existing software for visualization and analysis of scientific data. The expediency of use of the VTK framework that implements the methods of data display, and provides for their implementation in hardware-software systems, intended for reception and processing of spatial information.

关键词： data analysis data visualisation hardware-software codesign spatial data structures 3d data visualization VTK framework data display hardware-software systems scientific data analysis spatial information processing spatial information reception documentation visualization

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ClockRay: A Wrist-Rotation Based Technique for Occluded-Target Selection in Virtual Reality

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IEEE TRANSACTIONS ON visualization ANd COMPUTER GRAPHICS 2024年第7期30卷 3767-3778页

作者： Wu, Huiyue Sun, Xiaoxuan Tu, Huawei Zhang, Xiaolong Sun Yat Sen Univ Sch Journalism & Commun Guangzhou 510275 Guangdong Peoples R China Guangdong Key Lab Big Data Anal & Simulat Publ Opi Guangzhou 510275 Guangdong Peoples R China Sun Yat Sen Univ Guangzhou 510275 Guangdong Peoples R China La Trobe Univ Melbourne Vic 3086 Australia Penn State Univ University Pk PA 16802 USA

Target selection is one of essential operation made available by interaction techniques in virtual reality (VR) environments. However, effectively positioning or selecting occluded objects is under-investigated in VR, especially in the context of high-density or a high-dimensional data visualization with VR. In this paper, we propose ClockRay, an occluded-object selection technique that can maximize the intrinsic human wrist rotation skills through the integration of emerging ray selection techniques in VR environments. We describe the design space of the ClockRay technique and then evaluate its performance in a series of user studies. drawing on the experimental results, we discuss the benefits of ClockRay compared to two popular ray selection techniques - RayCursor and RayCasting. Our findings can inform the design of VR-based interactive visualization systems for high-density data.

关键词： data visualization Three-dimensional displays Wrist visualization Input devices Virtual reality Usability object selection RayCasting disambiguation wrist rotation 3d data visualization

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A dynamic Blind Zone Simulation and Analysis Model for Roadside Light detection and Ranging Sensor deployment Considering the Full Roadway Terrain and Vehicle dynamics

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TRANSPORTATION RESEARCH RECORd 2025年

作者： Ge, Yi Jin, Peter J. Chen, Anjiang Rutgers State Univ Dept Civil & Environm Engn Piscataway NJ 08853 USA

Blind zones in light detection and ranging (LidAR) sensors arise from their limited physical field of view and obstructions caused by static infrastructure or moving objects. Although originally intended for vehicle-based applications, LidAR sensors are now increasingly deployed in roadside infrastructure for traffic monitoring and connected and automated vehicle safety and mobility applications. However, there is a dearth of robust tools for analyzing their detection range, resolution, and other characteristics in such settings. This study introduces a three-dimensional (3d) blind zone simulation model for analyzing the detection characteristics of roadside LidAR sensor deployment. The model replicates the impact of static infrastructure conditions and dynamic blind zones during live traffic. Initially, a real-world digital surface model (dSM) captures 3d data of road surfaces and obstructing infrastructure objects. Optical geometry models then assess blind zone severity across various roadway areas. Subsequent 3d vehicle shape and dynamic simulations evaluate blind zone distributions under typical traffic conditions. The model's effectiveness is validated using field 3d point cloud data and vehicle detection data collected from a roadside LidAR site on Route 18 in New Brunswick, NJ. Evaluation results demonstrate the model's capability in analyzing complex static and dynamic blind zone distributions, offering insights for optimizing LidAR sensor location, height, tilting angle, and manufacturer configuration parameters to minimize sensing blind zones. For code availability, see https://***/rutgerstslab/LidAR-Coverage-Analysis.

关键词： data and data science information systems and technology sensor data analytics visualization in transportation 3d data visualization intelligent transportation systems connected

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Just Look at Them! Encouraging Self-Reflection on Teacher Gaze Behavior through data visualizations in Virtual Reality

Just Look at Them! Encouraging Self-Reflection on Teacher Ga...

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CHI Conference on Human Factors in Computing Sytems (CHI)

作者： Yoo, Yejoon Segal, Jonathan Hayes, Aleshia Taylor Won, Andrea Stevenson Cornell Univ Ithaca NY 14850 USA Univ North Texas Denton TX USA

ISBN: (纸本)9798400703317

Virtual classroom simulations are an exciting avenue to give teachers a way to reflect on their teaching behavior, in particular, nonverbal behavior. In two within-participants studies, we explore how visualizing participants' gaze, using four different data visualizations, affected participants' behaviors and self-reflection in an immersive virtual reality classroom simulation. We compared a Control condition with no data visualization, an updating Bar Graph over each "student" agent head, and two Fade-In/Fade-Out conditions where the opacity of "students" changed based on whether they were in the field of view of the participant. We found that participants preferred the Bar Graph visualizations, and this condition changed participants' behavior the most compared to the Control condition. We discuss design implications for virtual classroom simulations as a self-reflection tool for teachers.

关键词： 3d data visualization User Interface Immersive visualization Gaze data Virtual Reality Simulation

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AUGMENTEd REALITY IN EdUCATION ANd REMOTE SENSING

AUGMENTED REALITY IN EDUCATION AND REMOTE SENSING

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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Rai, Abhishek Harshit Jain, Kamal Khoshelham, Kourosh Indian Inst Technol Roorkee Dept Civil Engn Roorkee 247667 Uttarakhand India Univ Melbourne Dept Infrastruct Engn Parkville Vic Australia

ISBN: (数字)9781665427920

ISBN: (纸本)9781665427920

Augmented Reality (AR) is a technology that has attracted a lot of attention in recent times, especially, after PokemonGo and quite recently with the gaining popularity of metaverse. AR is not a new technology but its development to maturity has always been dependent on many other technologies like computer vision, mobile processing, optics, etc. We are at that stage in the development cycle of AR where all other technologies not only support but can benefit from its use. This research presents one such innovation in the domain of education - for school children or enthusiasts about geospatial technologies such as remote sensing. In this paper, we have discussed the idea, methodology, and demonstration of one such application which establishes a future trend for use of AR in the education of Geospatial Technology. different types of remote sensing data, their acquisition method, satellite technology, and applications area are explained using AR for a more interactive experience. Learning about geospatial technology will be helpful as the new frontier of Geo-information is enhancing everyone's day-to-day life and will help in boosting interest in this field.

关键词： Augmented Reality Remote Sensing Education 3d data visualization Geospatial data. Point Cloud

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Virtual Reality Web Application for Automotive data visualization

Virtual Reality Web Application for Automotive Data Visualiz...

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IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)

作者： Oliveira, Tomas Leite da Silva, Joao Manuel da Silva, Jorge Alves Univ Porto Fac Engn Porto Portugal Altran Portugal Res & Innovat Porto Portugal VORTEX CoLab Porto Portugal Univ Porto Fac Engn Dept Engn Informat Porto Portugal INESC TEC Porto Portugal

ISBN: (纸本)9781665431989

Road safety is crucial in the design of autonomous vehicles, so safety and performance tests must be carried out regularly. visualization applications of data acquired in these tests are critical to helping the continuous progress of autonomous driving. Currently, there is an application that helps in visualizing these data through a web platform, called Kratos visualization. This application was developed using the WebGL library, to help companies that carry out experiments with autonomous vehicles to visualize and validate the data that they collect. These data represent different sequences of autonomous driving experiences and can contain a lot of information about the vehicle and objects in the environment around it. The work that led to this paper aims to explore the visualization of these data with the help of virtual reality. To strengthen the visualization of autonomous driving data, an application was created named Kratos VR. designed with the A-Frame framework to work in any browser, this application contains the same functionalities of Kratos visualization and new virtual reality features. Performance tests were carried out to evaluate the application. These tests allowed us to conclude that virtual reality can be successfully used to effectively visualize Advanced driving Assist Systems (AdAS) and Autonomous driving (Ad) data and that the developed application provides a solid basis for future virtual reality applications in this field.

关键词： autonomous driving data WebXR virtual reality point-clouds 3d data visualization

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Movie data visualization Based on WebGL 21

Movie Data Visualization Based on WebGL

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21st ACIS International Winter Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/distributed Computing (SNPd-Winter)

作者： Li, Min Li, Chunfang Shi, Minyong Commun Univ China Sch Comp Sci & Cybersecur Beijing Peoples R China

ISBN: (纸本)9781665418430

Web 3d was initially realized by installing plug-ins on the browser, and WebGL can render interactive 3d graphics on web pages without using plug-ins. *** is the open-source framework of WebGL, a small amount of JavaScript code can create complex 3d scenes. This article uses *** to realize 3d data visualization, including 3d histograms, pie charts, maps, earth, and force-oriented graphs, and uses them for a visualized display of film data.

关键词： 3d data visualization Web interactive charts WebGL Three.js film data

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