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³í¹®¸í Áõ°­Çö½Ç ±â¼úÀ» ÅëÇÑ °Ç¼³ ÇöÀå¿¡¼­ÀÇ °øÁ¤ Á¤º¸ È°¿ëµµ Á¦°í ¹æ¾È / Augmented Reality Framework for Efficient Access to Schedule Information on Construction Sites
ÀúÀÚ¸í ÀÌ¿ëÁÖ; ±èÁø¿µ; Pham, Hung); ¹Ú¸¸¿ì
¹ßÇà»ç Çѱ¹BIMÇÐȸ
¼ö·Ï»çÇ× Çѱ¹BIMÇÐȸ ³í¹®Áý, Vol.10 No.4 (2020-12)
ÆäÀÌÁö ½ÃÀÛÆäÀÌÁö(60) ÃÑÆäÀÌÁö(10)
ISSN 2288-1697
ÁÖÁ¦ºÐ·ù Àü»ê
ÁÖÁ¦¾î µðÁöÅÐ Æ®À©; Áõ°­Çö½Ç; ÄÄÇ»ÅÍ ºñÀü; µö·¯´×; ¿þ¾î·¯ºí µð¹ÙÀ̽º; ½Ã°ø °øÁ¤ Á¤º¸ ; Digital twin; Augmented reality; Computer vision; Deep learning; Wearable device; Schedule
¿ä¾à2 Allowing on-site workers to access information of the construction process can enable task control, data integration, material and resource control. However, in the current practice of the construction industry, the existing methods and scope is quite limited, leading to inefficient management during the construction process. In this research, by adopting cutting edge technologies such as Augmented Reality(AR), digital twins, deep learning and computer vision with wearable AR devices, the authors proposed an AR visualization framework made of virtual components to help on-site workers to obtain information of the construction process with ease of use. Also, this paper investigates wearable AR devices and object detection algorithms, which are critical factors in the proposed framework, to test their suitability.
¼ÒÀåó Çѱ¹BIMÇÐȸ
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DOI https://doi.org/10.13161/kibim.2020.10.4.060
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