中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
遥感与数字地球研究所 [2]
软件研究所 [1]
采集方式
OAI收割 [3]
内容类型
会议论文 [2]
期刊论文 [1]
发表日期
2009 [1]
2006 [2]
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Parallel Map Rendering System for Massive Geospatial Data in Distributed Environment
会议论文
OAI收割
2009 17th International Conference on Geoinformatics, Vols 1 and 2, New York
Ren Yingchao
;
Shen Lei
;
Yang Chongjun
;
Zhu Lin
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2014/12/07
distributed environment
parallel rendering
massive geospatial data
多投影系统D-vision中双手6自由度力觉交互
期刊论文
OAI收割
系统仿真学报, 2006, 卷号: 18, 期号: 11, 页码: 3157-3160
骆岩林
;
刘学慧
;
村山淳
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2010/08/23
虚拟现实
多投影虚拟现实系统
双手6自由度力觉交互
分布绘制 virtual reality
multi-projection VR system
both-handed 6DOF manipulation with force feedback
distributed rendering
Study of navigation based on intelligent avatar with mobile virtual reality
会议论文
OAI收割
IET International Conference on Wireless Mobile and Multimedia Networks Proceedings, ICWMMN 2006,, Hangzhou, China, November 6, 2006 - November 9,2006
Jun, Ma
;
Hengjun, Zhu
;
Jianhua, Gong Source
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2014/12/07
Recent advances in wireless communications and the hardware performance of handset devices make possible the combination of navigation technology with mobile virtual reality (MVR). In this paper
we describe a navigation method that uses intelligent avatar (IA) and been realized in a distributed architecture. In the method
complicated A* wayfinding algorithm is applied to obtain the set of smell points (SSP) on PC server (PCS)
thereafter handset client (HC) will receive the SSP via wireless network and create an IA to lead the user along the route controlled by the SSP. During navigation
the IA can apperceive the status of user's avatar in virtual environment regularly and then adjust its travel speed in order to complete harmoniously the navigation task for the user. Furthermore
the rendering of IA adopts the technology of dynamic impostor and the method of distributed rendering. In order to reduce the occupation of wireless network bandwidth
we present two methods and name them as levels of action (LOA) and simple texture compression.