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Image-based 3D Scene Reconstruction and Rescue Simulation Framework for Railway Accidents.

Nie, Y.Y., Tang, Z., Yu, J.F., Zhu, Y.R., Guo, S.H., Chang, J., Zhang, J. J. and Su, Y., 2016. Image-based 3D Scene Reconstruction and Rescue Simulation Framework for Railway Accidents. In: 2016 International Conference on Virtual Reality and Visualization (ICVRV), 24-26 September 2016, Hangzhou, Zhejiang, China, 335 - 340.

Full text available as:

Image-based V_3.0.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.


DOI: 10.1109/ICVRV.2016.62


Although the railway transport is regarded as a relatively safe transportation tool, many railway accidents have still happened worldwide. In this research, an image-based 3D scene reconstruction framework was proposed to help railway accident emergency rescues. Based on the improved constrained non-linear least square optimization, the framework can automatically model the accident scene with only one panorama in a short time. We embedded the self-developed global terrain module into the commercial visualization and physics engine, which makes the commercial engine can be used to render the static scene at anywhere and simulate the dynamic rescue process respectively. In addition, a Head Mounted Device (HMD) was integrated into this framework to allow users to verify their rescue plan and review previous railway accidents in an immersive environment.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Image-based scene reconstruction ; Railway accident simulation ; Virtual reality ; Non-linear least square optimization ; Visualization and physics engine
Group:Faculty of Media & Communication
ID Code:29466
Deposited By: Symplectic RT2
Deposited On:12 Jul 2017 08:38
Last Modified:14 Mar 2022 14:05


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