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      • PC와 모바일 디바이스에서의 실내위치인식 시스템을 위한 동적VRML 기반의 항행 3차원 지도 설계 및 구현 : Design and Implementation of Dynamic VRML-Based Navigable Three-Dimensional Map for Indoor Location-Aware Systems in Desktop and Mobile Devices

        양치시엔 동서대학교 디자인 & IT 전문대학원 2008 국내석사

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        Computing systems are becoming increasingly mobile, establishing a substantial rise in interest in applications that exploit aspects of the operating environment. This has led to the emergence of context-aware applications. The backbone of such applications is provided by location systems that are made aware of changes in the physical and computing environment, react and adjust accordingly to the changes of location of users and with knowledge of the locations, a suitable display can be determined to deliver the results to a mobile user or third parties for navigation and activity monitoring purposes. The system described in this thesis is a convergence of location-aware application and three-dimensional (3D) graphic technology, a 3D visualization of location-aware information. Most of the traditional location-aware applications have neglected the visualization aspects of location-aware information where association of 3D graphics and indoor location-aware applications is yet as general as the common 2D flat representation. This system, Three-Dimensional Navigation Viewer (3DNV) allows visualization of location-aware information in a complete, 3D model of indoor environment equipped with instantly updated route results, synchronized with physical world. The approach is validated via two indoor context-aware technologies, Cricket and Received Signal Strength Indication (RSSI). The overall results provide a valuable insight into the novel integration approach between 3D graphics standard, Virtual Reality Modeling Language (VRML) and indoor location-aware systems. The developed system is not only applicable on desktop environment, but also mobile devices. Thus, this thesis also reviews the studies in the rendering of 3D worlds on mobile devices, presenting primarily the most essential details of the indoor environment based on target’s current spatial information through portal culling algorithm.

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