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A Study on Updated Object Detection and Extraction of Underground Information

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2020, 16(2), pp.99-107
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : November 19, 2020
  • Accepted : December 21, 2020
  • Published : December 31, 2020

KIM KWANG SOO 1 LEE,HYUNGSUB 1 Kim Juwan 1

1한국전자통신연구원

Candidate

ABSTRACT

An underground integrated map is being built for underground safety management and is being updated periodically. The map update proceeds with the procedure of deleting all previously stored objects and saving newly entered objects. However, even unchanged objects are repeatedly stored, deleted, and stored. That causes the delay of the update time. In this study, in order to shorten the update time of the integrated map, an updated object and an unupdated object are separated, and only updated objects are reflected in the underground integrated map, and a system implementing this technology is described. For the updated object, an object comparison method using the center point of the object is used, and a quad tree is used to improve the search speed. The types of updated objects are classified into addition and deletion using the shape of the object, and change using its attributes. The proposed system consists of update object detection, extraction, conversion, storage, and history management modules. This system has the advantage of being able to update the integrated map about four times faster than the existing method based on the data used in the experiment, and has the advantage that it can be applied to both ground and underground facilities.

Citation status

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