A Flexible Framework for Covering and Partitioning Problems in Indoor Spaces

Utilizing indoor spaces has become important with the progress of localization and positioning technologies. Covering and partitioning problems play an important role in managing, indexing, and analyzing spatial data. In this paper, we propose a multi-stage framework for indoor space partitioning, e...

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Bibliographic Details
Published in:ISPRS International Journal of Geo-Information
Main Authors: Sung-Hwan Kim, Ki-Joune Li, Hwan-Gue Cho
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Subjects:
indoor space
covering problem
space partition
binary linear programming
IndoorGML
Online Access:https://www.mdpi.com/2220-9964/9/11/618

Internet

https://www.mdpi.com/2220-9964/9/11/618

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