People in unfamiliar environments often need navigation guidance to reach a destination.
Research has found that compared to outdoors, people tend to lose orientation much more easily
within complex buildings, such as university buildings and hospitals. This paper proposes
a category-based method to generate landmark-based route instructions to support people's
wayfinding activities in unfamiliar indoor environments. Compared to other methods relying
on detailed instance-level data about the visual, semantic, and structural characteristics of individual
spatial objects, the proposed method relies on commonly available data about categories of spatial
objects, which exist in most indoor spatial databases. With this, instructions like "Turn right after the
second door, and use the elevator to go to the second floor" can be generated for indoor navigation. A case
study with a university campus shows that the method is feasible in generating landmark-based
route instructions for indoor navigation. More importantly, compared to metric-based instructions
(i.e., the benchmark for indoor navigation), the generated landmark-based instructions can help users
to unambiguously identify the correct decision point where a change of direction is needed, as well
as offer information for the users to confirm that they are on the right way to the destination.
| Identifer | oai:union.ndltd.org:VIENNA/oai:epub.wu-wien.ac.at:5882 |
| Date | January 2017 |
| Creators | Fellner, Irene, Huang, Haosheng, Gartner, Georg |
| Publisher | MDPI AG |
| Source Sets | Wirtschaftsuniversität Wien |
| Language | English |
| Detected Language | English |
| Type | Article, PeerReviewed |
| Format | application/pdf |
| Rights | Creative Commons: Attribution 4.0 International (CC BY 4.0) |
| Relation | http://dx.doi.org/10.3390/ijgi6060183, http://www.mdpi.com/, www.mdpi.com/journal/ijgi, http://epub.wu.ac.at/5882/ |
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