Abstract
Indoor location-based services is an ever emerging field of research and application. In particular indoor navigation, i.e. positioning and route planning in freely walkable space, gets much attention. The philosophy of this paper is to incorporate isovists as a numerical representation of the local environment to enable new types of indoor LBS. This paper has got two main contributions. First, we define discrete isovists as an approximation of exact isovists using a simple ray casting approach. Second, we define, create, and use isovist feature cubes for semantic evaluations of floor plans as well as trajectory annotation.
Item Type: | Conference or Workshop Item (Report) |
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Faculties: | Mathematics, Computer Science and Statistics > Computer Science |
Subjects: | 000 Computer science, information and general works > 004 Data processing computer science |
Language: | English |
Item ID: | 47388 |
Date Deposited: | 27. Apr 2018, 08:12 |
Last Modified: | 13. Aug 2024, 12:54 |