• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 55 Issue 5
Oct.  2020
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Article Contents
ZHU Jun, SHE Ping, LI Weilian, CAO Yungang, QI Hua, WANG Bo, WANG Yu. Dynamic Planning Method for Indoor-Fire Escape Path Based on Navigation Grid[J]. Journal of Southwest Jiaotong University, 2020, 55(5): 1103-1110. doi: 10.3969/j.issn.0258-2724.20180912
Citation: ZHU Jun, SHE Ping, LI Weilian, CAO Yungang, QI Hua, WANG Bo, WANG Yu. Dynamic Planning Method for Indoor-Fire Escape Path Based on Navigation Grid[J]. Journal of Southwest Jiaotong University, 2020, 55(5): 1103-1110. doi: 10.3969/j.issn.0258-2724.20180912

Dynamic Planning Method for Indoor-Fire Escape Path Based on Navigation Grid

doi: 10.3969/j.issn.0258-2724.20180912
  • Received Date: 29 Oct 2018
  • Rev Recd Date: 04 Mar 2019
  • Available Online: 21 Mar 2019
  • Publish Date: 01 Oct 2020
  • Existing escape path planning methods for indoor fire in virtual reality (VR) have some deficiencies such as static planning and low efficiency. To solve the these problems, the dynamic planning of indoor-fire escape path was explored with the use of the navigation grid in VR scene. First, a photorealistic visualization method of indoor fire was proposed and a VR scene of indoor fire was constructed. Second, a construction algorithm of initial navigation was created and its dynamic generation algorithm was designed. Then the dynamic planning method for indoor-fire escape path was established. Finally, a prototype system was developed and the exhibition hall in an industrial park was selected for experimental analysis. The experimental results show that the static geographic scene and dynamic fire scene can be combined to construct an indoor-fire VR scene, and the proposed method can dynamically plan escape paths of indoor fire. The navigation grid can be updated within 10 m, and the average time of each escape path planning is about 50 ms.

     

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