Abstract
The railway crane is frequently used in railway accident rescues. However, it is generally impractical to train crane operators widely in real accident sites considering the costs and human safety. A VR-based crane training system for railway accident rescues is proposed in this paper. The training system reconstructs the railway accident scenes by integrating geographical environments, head-on collision scenarios between two high-speed trains and the railway crane kinematics models. Crane operators can interact with the virtual accident environment through some VR devices and gain the valuable experience of railway accident rescues. Results of a field test show that the VR-based crane training system for railway accident rescues can provide a safe, low-cost, efficient and user-friendly platform for crane operators.
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Acknowledgements
We would like to thank Shujie Deng for proofreading this manuscript. The financial support of the National Science Foundation of China (No. 51405402, NO. 51475394), the Independent Research Project of the State Key Laboratory of Traction Power (No. 2015TPL_T06), and the Fundamental Research Funds for the Central Universities (No. 2682016CX128) is gratefully acknowledged.
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Xu, J. et al. (2017). A VR-Based Crane Training System for Railway Accident Rescues. In: Chang, J., Zhang, J., Magnenat Thalmann, N., Hu, SM., Tong, R., Wang, W. (eds) Next Generation Computer Animation Techniques. AniNex 2017. Lecture Notes in Computer Science(), vol 10582. Springer, Cham. https://doi.org/10.1007/978-3-319-69487-0_15
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DOI: https://doi.org/10.1007/978-3-319-69487-0_15
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