Traditional ways of capturing the progress of work on construction sites rely on manual means. This often involves subjectivity and is therefore prone to error. In addition, the timing of this manual approach is usually too infrequent to allow for prompt control actions. This study is about automating the process of measuring work in progress and integrating that with design, planning, and as-built documentation of progress information. The work reported in this study is a subset of an EPSRC funded project that aims to investigate applications of computer vision techniques to the measurement of work in progress. The key issues addressed are the conceptual design of the entire system and the computer implementation of a model for documenting as-built pro information.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:493360 |
| Date | January 2008 |
| Creators | Ibrahim, Yahaya Makarfi |
| Contributors | Kaka, Ammar |
| Publisher | Heriot-Watt University |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://hdl.handle.net/10399/2184 |
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