Investigation into the limitation of measuring to 360 Degree prisms using automatic target recognition technology

McDonald, Matthew (2011) Investigation into the limitation of measuring to 360 Degree prisms using automatic target recognition technology. [USQ Project]


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This dissertation outlines the limitations of reading to a 360 degree prism using Automatic Target Recognition (ATR) technology, covering the 360 degree prism attributes that affect the accuracy of the readings obtained and possible ways to reduce these effects to obtain more precise readings.

The methods designed to measure these effects are outlined along with the design considerations and reasons behind the selection of these methods. The designed methods were tested on three selected instruments with their accompanying 360 degree prism.

The instruments selected for testing had different manufacturers and their date of release was spread over the years which ATR evolved. This provided various 360 degree prism designs, the use of different ATR technology and different electronic distance measurement devices for testing.

Using the field testing data gathered from the three instruments, software formulae for each instrument were calculated to predict the vertical height and horizontal distance corrections. These formulas could be applied in the reduction process of the observation to reduce these

By understanding the causes of these errors and how they occur, recommendations for ways to minimise these effects on accuracy of the readings were outlined. The measured
limitations for each instrument was determined and presented with the discussion of their accuracy and possible effects that may have hindered the results.

The benefits of identifying the significance of these errors and their causes means that when new technology is developed, they can be considered and reduced through prism design or reduction, which will improve the accuracy of this method of survey used by machine guidance and instrument operators.

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Item Type: USQ Project
Refereed: No
Item Status: Live Archive
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information (Up to 30 Jun 2013)
Supervisors: McDougall, Kevin
Date Deposited: 20 Dec 2012 06:51
Last Modified: 03 Jul 2013 01:36
Uncontrolled Keywords: automatic target recognition technology
Fields of Research (2008): 09 Engineering > 0909 Geomatic Engineering > 090903 Geospatial Information Systems
Fields of Research (2020): 40 ENGINEERING > 4013 Geomatic engineering > 401302 Geospatial information systems and geospatial data modelling

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