3D Graphics Applied to Maritime Safety

Lecture Notes in Geoinformation and Cartography - Information Fusion and Geographic Information Systems ◽

10.1007/978-3-540-37629-3_22 ◽

2007 ◽

pp. 286-300 ◽

Cited By ~ 2

Author(s):

Christopher Gold ◽

Rafal Goralski

Keyword(s):

3D Graphics ◽

Maritime Safety

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A Improvement Plan of the Effectiveness analysis of Korean Maritime Safety Tribunal Safety Policy

Korean Association of Maritime Police Science ◽

10.30887/jkmps.2018.8.1.145 ◽

2018 ◽

Vol 8 (1) ◽

pp. 145-160

Author(s):

Chang-Hyun Lee ◽

◽

Sung-Cheol Kim ◽

Chang-Hyun Jung

Keyword(s):

Safety Policy ◽

Maritime Safety ◽

Improvement Plan ◽

Effectiveness Analysis

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Parallel rendering efficiency analysis of 3D graphics on PC cluster

Journal of Computer Applications ◽

10.3724/sp.j.1087.2010.00547 ◽

2010 ◽

Vol 30 (2) ◽

pp. 547-550 ◽

Cited By ~ 1

Author(s):

Shuai PENG ◽

Dong-mei LI ◽

Zhao-hui LI

Keyword(s):

Efficiency Analysis ◽

Parallel Rendering ◽

3D Graphics ◽

Pc Cluster

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Statistical Analysis of the Characteristics of Ship Accidents for Chongqing Maritime Safety Administration District

2020 Forum on Integrated and Sustainable Transportation Systems (FISTS) ◽

10.1109/fists46898.2020.9264867 ◽

2020 ◽

Author(s):

Jie Xue ◽

Eleonora Papadimitriou ◽

Chaozhong Wu ◽

P.H.A.J.M. Van Gelder

Keyword(s):

Statistical Analysis ◽

Maritime Safety

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Real-Time Web GIS Analysis Using WebGL

International Journal of 3-D Information Modeling ◽

10.4018/ij3dim.2012070105 ◽

2012 ◽

Vol 1 (3) ◽

pp. 49-61 ◽

Cited By ~ 6

Author(s):

Michael Auer

Keyword(s):

Parallel Processing ◽

Real Time ◽

Large Data ◽

Web Gis ◽

3D Graphics ◽

Gis Analysis ◽

User Interactions ◽

Algorithm Performance ◽

Gis Applications ◽

Client Side

Parallel processing methods in Geographic Information Systems (GIS) are traditionally used to accelerate the calculation of large data volumes with sophisticated spatial algorithms. Such kinds of acceleration can also be applied to provide real-time GIS applications to improve the responsiveness of user interactions with the data. This paper presents a method to enable this approach for Web GIS applications. It uses the JavaScript 3D graphics API (WebGL) to perform client-side parallel real-time computations of 2D or 2.5D spatial raster algorithms on the graphics card. The potential of this approach is evaluated using an example implementation of a hillshade algorithm. Performance comparisons of parallel and sequential computations reveal acceleration factors between 25 and 100, mainly depending on mobile or desktop environments.

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