Information Filtering for Mobile Augmented Reality
Abstract
Augmented Reality (AR) has the potential to revolutionise the way in which information is delivered to a user. By tracking the user s position and orientation, complicated spatial information can be directly registered to the real world in the context where it applies. We are focussing our research on the problem of developing mobile augmented reality systems which can be worn by an individual user operating in a large, complicated environment such as a city. Virtual sign posts can, for example, announce the name of anonymous streets. Hidden infrastructure such as sewer or gas lines can be shown beneath a road surface. However, an urban environment is extremely complicated: it is populated by large numbers of buildings, each of which can have numerous facts stored about it. Therefore, it is very easy to inflict the user with information overload. This problem is illustrated in Figure 1 which shows a screen capture from our mobile AR system1. The purpose of this application is simple: the system is trying to guide a user to an office in a small building. The application should start by guiding the user to the correct building, then to the correct entrance, and finally to the correct office. Figure 1 shows what happens when the system draws all the environmental data. The display includes both relevant information (such as the name and location of the building and the target office) and irrelevant information (a detailed geometric model of the exterior of the building, the interior of the building, and all other data which lies within the view frustum but is behind the foreground building). As can be seen, the display is extremely complicated, confusing and uninformative.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 02, 2002
- Accession Number
- ADA606242
Entities
People
- Dennis Brown
- Marco Lanzagorta
- Simon J Julier
- Yohan Baillot
Organizations
- United States Naval Research Laboratory