GPU ray casting method for visualizing 3D pipelines in a virtual globe

Wu, Zhaocong; Nan, Wang; Shao, Jie; Deng, Guohui

doi:10.1080/17538947.2018.1429504

Cited by 6 publications

(5 citation statements)

References 18 publications

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“…1 compares the drawing time of different algorithms for drawing the same picture of the human leg. VS3D, Dual-FHR, RIFT2, SHSR-UV, and ray-casting DAS in Figure 2 represent the experimental results of Wu's algorithm [13], Luo's algorithm [14], Francisco Sans' algorithm [16], Roba Binyahib's algorithm [17], and ray-casting DAS algorithm, respectively.…”

Section: Resultsmentioning

confidence: 99%

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A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling

Wang

Pan

et al. 2020

Wireless Communications and Mobile Computing

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Ray-casting algorithm is an important volume rendering algorithm, which is widely used in medical image processing. Aiming to address the shortcomings of the current ray-casting algorithms in 3D reconstruction of medical images, such as slow rendering speed and low sampling efficiency, an improved algorithm based on dynamic adaptive sampling is proposed. By using the central difference gradient method, the corresponding sampling interval is obtained dynamically according to the different sampling points. Meanwhile, a new rendering operator is proposed based on the color value and opacity changes before and after the ray enters the volume element, and the resistance luminosity. Compared with the state of other algorithms, experimental results show that the method proposed in this paper has a faster rendering speed while ensuring the quality of the generated image.

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Section: Resultsmentioning

confidence: 99%

“…Wu et al [13] proposed a GPU ray projection method for visualizing 3D pipelines in a virtual sphere. In their method, the pipeline data was initially divided into several data blocks.…”

Section: Related Workmentioning

confidence: 99%

A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling

Wang

Pan

et al. 2020

Wireless Communications and Mobile Computing

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“…On a lower computer architectural level, a GPU-based pipeline ray casting method was proposed to visualize urban-scale pipelines as a part of a virtual globe [43]. The results of the approach indicated that the proposed visualization method meets the criteria for multiscale visualization of urban pipelines in a virtual globe, which is of great importance to urban infrastructure development.…”

Section: Large-scale Data Visualization In the Production Of Dtsmentioning

confidence: 99%

“…The noise levels due to road traffic in the area are calculated according to local regulations, following the Nordic Prediction Method for Road Traffic Noise [43]. The model uses data on the elevation of the terrain, ground type (acoustically soft or hard), buildings and noise barriers (footprint and height), and location of road segments, with accompanying data on traffic flow (driving speed and number of light and heavy vehicles per 24 h).…”

Section: Data Visualizationmentioning

confidence: 99%

Towards Urban Digital Twins: A Workflow for Procedural Visualization Using Geospatial Data

Somanath,

Naserentin,

Eleftheriou

et al. 2024

Remote Sensing

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A key feature for urban digital twins (DTs) is an automatically generated detailed 3D representation of the built and unbuilt environment from aerial imagery, footprints, LiDAR, or a fusion of these. Such 3D models have applications in architecture, civil engineering, urban planning, construction, real estate, Geographical Information Systems (GIS), and many other areas. While the visualization of large-scale data in conjunction with the generated 3D models is often a recurring and resource-intensive task, an automated workflow is complex, requiring many steps to achieve a high-quality visualization. Methods for building reconstruction approaches have come a long way, from previously manual approaches to semi-automatic or automatic approaches. This paper aims to complement existing methods of 3D building generation. First, we present a literature review covering different options for procedural context generation and visualization methods, focusing on workflows and data pipelines. Next, we present a semi-automated workflow that extends the building reconstruction pipeline to include procedural context generation using Python and Unreal Engine. Finally, we propose a workflow for integrating various types of large-scale urban analysis data for visualization. We conclude with a series of challenges faced in achieving such pipelines and the limitations of the current approach. However, the steps for a complete, end-to-end solution involve further developing robust systems for building detection, rooftop recognition, and geometry generation and importing and visualizing data in the same 3D environment, highlighting a need for further research and development in this field.

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“…A medium sized city may have hundreds of kilometers of roads and a main road may cross many blocks. For high-fidelity road network simulation, constructing and rendering road models of a massive scale directly will inevitably lead to poor efficiency [22]. Therefore, an efficient method for road network simulation that considers the viewing situation should be studied.…”

Section: Introductionmentioning

confidence: 99%

Template-Based 3D Road Modeling for Generating Large-Scale Virtual Road Network Environment

Zhang

Zhong

Liu

et al. 2019

IJGI

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The 3D road network scene helps to simulate the distribution of road infrastructure and the corresponding traffic conditions. However, the existing road modeling methods have limitations such as inflexibility in different types of road construction, inferior quality in visual effects and poor efficiency for large-scale model rendering. To tackle these challenges, a template-based 3D road modeling method is proposed in this paper. In this method, the road GIS data is first pre-processed before modeling. The road centerlines are analyzed to extract topology information and resampled to improve path accuracy and match the terrain. Meanwhile, the road network is segmented and organized using a hierarchical block data structure. Road elements, including roadbeds, road facilities and moving vehicles are then designed based on templates. These templates define the geometric and semantic information of elements along both the cross-section and road centerline. Finally, the road network scene is built by the construction algorithms, where roads, at-grade intersections, grade separated areas and moving vehicles are modeled and simulated separately. The proposed method is tested by generating large-scale virtual road network scenes in the World Wind, an open source software package. The experimental results demonstrate that the method is flexible and can be used to develop different types of road models and efficiently simulate large-scale road network environments.

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GPU ray casting method for visualizing 3D pipelines in a virtual globe

Cited by 6 publications

References 18 publications

A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling

A Novel Ray-Casting Algorithm Using Dynamic Adaptive Sampling

Towards Urban Digital Twins: A Workflow for Procedural Visualization Using Geospatial Data

Template-Based 3D Road Modeling for Generating Large-Scale Virtual Road Network Environment

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