3D Maps in Mobile Devices

Author:

Mantoro Teddy1ORCID,Abubakar Adamu I.2,Ayu Media A.2

Affiliation:

1. Department of Informatics, Advanced Informatics School, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia

2. Department of Information System, KICT, International Islamic University, Kuala Lumpur, Malaysia

Abstract

Pathway analysis provided by current 3D maps in mobile devices that are intended for an interactive navigation aid, is simulated for what-if experiments against task and functional analysis, based on the problems faced from both technical and user-practices views. The aim of a navigation aid, in general, is to provide an optimal route from the current position to the destination. Unfortunately, the problem of most mobile device’s GPS signal accuracy and the display of pathways on 3D maps in the small screen of mobile devices affects the pathway architectural design from generating accurate initial positions to destinations. This paper presents both conceptual and experimental analysis of pathway determination designed for 3D maps in mobile devices for an interactive navigation aid, which is going to be added to an existing individual cognitive map. The analytical outcomes are aimed at providing how environmental conditions come to be detected and how problems are resolved in helping people to navigate in unfamiliar locations by having positions and paths corrected to a reasonable degree of accuracy in order to overcome the problems of generating in-accurate locations and the weaknesses of conventional 2D maps, which requires users to interpret its various symbols and legends. Bent functions and fuzzy logic type 2 are used for simulating signal deviations from the precise values and Voronoi diagram/Delaunay triangulation are used for establishing experimental paths and locations. Finally, this technique will contribute to a well-defined positioning and pathway establishment of 3D maps in mobile devices for navigation aid.

Publisher

IGI Global

Subject

Computer Networks and Communications

Reference27 articles.

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3. Aslan, I., & Krüger, A. (2004). The bum bag navigator (BBN): An advanced pedestrian navigation system. UbiComp Workshop on Artificial Intelligence in Mobile Systems, 15-19.

4. Aurenhammer, F., & Schwarzkopf, O. (1991). A simple on-line randomized incremental algorithm for computing higher order Voronoi diagrams. In Proceedings of the Seventh Annual Symposium on Computational Geometry (pp. 142-151).

5. Chakraborty, B., & Hashimoto, T. (2010). A framework for user aware route selection in pedestrian navigation system. In Proceedings of the 2010 2nd International Symposium on Aware Computing (ISAC) (pp. 150–153).

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimizing Three-Dimensional (3D) Map View on Mobile Devices as Navigation Aids Using Artificial Neural Network;2013 International Conference on Advanced Computer Science Applications and Technologies;2013-12

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