Zhou, Z., Weibel, R., Richter, K.-F., & Huang, H. (2021). Towards a hierarchical indoor data model from a route perspective. In A. Basiri, G. Gartner, & H. Huang (Eds.), LBS 2021: Proceedings of the 16th International Conference on Location Based Services (pp. 1–4). https://doi.org/10.34726/1742
In mobile navigation systems, an appropriate level of detail of
the route instructions provided is important for navigation users to
understand, memorise, and follow routes. However, few existing indoor
navigation systems are capable of providing route instructions with
multiple levels of detail. To close this gap, it is critical to model indoor
environments with multiple granularities for route instructions to be
generated on varying levels of detail. We propose a hierarchical model for
route instructions in multi-storey buildings by allowing for representing
actions (i.e., turning left or right, and going straight) in conceptualising
route instructions. As a proof of concept, a case study is being conducted to
present the feasibility of the proposed hierarchical model.
en
Additional information:
Published in “Proceedings of the 16th International Conference on
Location Based Services (LBS 2021)”, edited by Anahid Basiri, Georg
Gartner and Haosheng Huang, LBS 2021, 24-25 November 2021,
Glasgow, UK/online.
CC BY 4.0
