Application of Collision Detection in Visual Simulation System for Bridge Cranes

Author:

Dong Ming Xiao1,Lu Meng Meng1,Li Rui Chuan2,Tian Jun Ru1,Luo Ren Yu1,Jiang Ming Shi1

Affiliation:

1. Shandong Jianzhu University

2. Shandong Wuzheng Group

Abstract

Collision detection is the key technology in the visual simulation system for bridge cranes. According to analyse the collision between hook and virtual objects in visual simulation system for bridge cranes, collision detection method of visual simulation system for bridge cranes is determined based on the collision detection principle. First of all, LOS intersection vector method is chosen based on the principle of collision detection in Vega. Hook is designed for the collision target using Isector module in Lynx and the same intersection vector masks in Isector Class are guaranteed. Then, the BUMP collision detection for hook is created by calling vgIsector functions in VC++ and BUMP detection method of hook is bounded with hook. Finally, conditional statements which ensure hook to move without collision are compiled. Therefore, the virtual scene around the hook is detected in real time. The results show that the phenomenon of passing through by mistake for the hook can be avoided applying the BUMP collision detection method in Vega software in visual simulation system for bridge cranes, and the accuracy for BUMP method detecting the goods is improved using LOS collision detection method.

Publisher

Trans Tech Publications, Ltd.

Reference4 articles.

1. Hua Wang, Pei Liu. The Research about Simulation Trainng of Bridge Crane. Computer Development & Applications, 2013, 26(05): 41-46.

2. Rui Zhang, Xien Zhang, Jianhua Xie. Application of Collision Detection in Operation Training Simulation System. Advance Manufacture Technique, 2005, 24(01): 22-23.

3. Xiaoning Zhang, Xiaochun Zhao, Xiang Wang, etc. The Three-Dimensional Landscape Roaming Design and Implementation Based on Virtools. Chinese Agricultural Science Bulletin, 2009, 25(04): 175-178.

4. Xiao Wang, Na Lu, Zhanying Yang. Research on Collision Detection Technologies Based on Vega and its Implementation. Information Technology, 2007, (11): 78-80.

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