Name
Abstract | ||
|---|---|---|
The approach is presented as a semi-automatic method for constructing plans which can cope with a limited set of known information and constructs likely representations of building plans through modelling of soft and hard constraints. We evaluate the method in the context of estimating residential house plans and demonstrate that predictions can effectively be used for constructing plans given limited prior knowledge about the types of rooms and their topology. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1080/13658816.2017.1313980 | International Journal of Geographical Information Science |
Keywords | Field | DocType |
Building modelling, optimisation, indoor mapping, prediction | Data-driven,Computer science,Artificial intelligence,Machine learning | Journal |
Volume | Issue | ISSN |
31 | 8 | 1365-8816 |
Citations | PageRank | References |
2 | 0.39 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Julian Rosser | 1 | 14 | 2.17 |
| Gavin Smith | 2 | 43 | 5.31 |
| Jeremy Morley | 3 | 27 | 3.85 |