PURPOSES : This study aimed to perform real-time on-site construction volume management by using Internet of things (IoT) technology consisting of 3D scanning, image acquisition, wireless communication systems, and mobile apps for new and maintenance construction of concrete bridge deck overlays. METHODS : LiDAR was used to scan the overlay before and after construction to check the overlay volume. An enhanced inductively coupled plasma (ICP) method was applied to merge the LiDAR data scanned from multiple locations to reduce noise, and an anisotropic filter was applied for efficient three-dimensional shape modeling of the merged LiDAR data. The construction volume counter of the mobile mixer was directly photographed using an IP camera, and the data were transmitted to a central server via the LTE network. The video images were transmitted to the central server and optical character recognition (OCR) was used to recognize the counter number and store it. The system was built such that the stored information could be checked in real time in the field or at the office. RESULTS : As a result of using LiDAR to check the amount of overlay construction, the error from the planned amount was 0.6%. By photographing the counter of the mobile mixer using an IP camera and identifying the number on the counter using OCR to check the quantity, the results showed that there was a 2% difference from the planned quantity. CONCLUSIONS : Although the method for checking the amount of construction on site using LiDAR remains limited, it has the advantage of storing and managing the geometric information of the site more accurately. Through the IoT-based on-site production management system, we were able to identify the amount of concrete used in real time with relative accuracy.

VR은 사용자가 가상 공간에 완전히 몰입하고 상호 작용할 수 있는 가상 세계이다. 본 연구는 스톱모션 애니 메이션을 VR 애니메이션으로 제작할 시 효과적인 객체 표현 방법에 대한 내용을 제시하고자 한다. 실험 결 과 데이터는 VR 스톱모션 애니메이션 및 일반 스톱모션 애니메이션, VR게임 등 다양한 콘텐츠에 적용이 가 능하다. 3D 오프젝트의 변화되는 형태를 앵글별로 3D 스캔한 후 게임엔진에서 다양하게 활용할 수 있도록 데이터화 한 뒤 콘텐츠에 적용하여 구현한다. 기존 스톱모션 애니메이션에서 느낄 수 있는 수작업 느낌을 살리되 디지털적인 이펙트를 추가적으로 이용할 수 있는 장점이 있다. 기존의 스톱 모션 애니메이터들이 접 근하기 힘든 영역을 작업하는데 필요한 세가지 모듈을 구현하여 실험하였다. VR 콘텐츠 제작에서 오브젝트 의 표현과 관련된 분야의 발전에 기여하게 될 것이며 새로운 방향을 제시할 것이다. 향후 연구에서는 각 캐 릭터 관절의 움직임에 따른 3D 스캔 데이터 관련 연구를 수행할 예정이다.

Unloading operation by the unloader is dependent on the experience of the operator in the cabin. If the operator receives information about the unloading situation in the process of lifting the bucket, it is possible to prevent the collision of the bucket with the ship structure. In recent years, numerous measurement systems have become available on the market for three-dimensional surveying of objects, but they are very expensive. This study presents a high quality, low cost 3D laser scanning system designed for object recognition. The developed 3D laser scanning system is built on the base of a 2D laser sensor by the extension with a servo motor and a rotation module. In order to evaluate performance of the developed 3D laser scanning system, the developed system was applied to scan a shape of hatch and cargo holder on a cargo ship. Experimental results showed that to obtain a 3D scanning data for the area around the hatch and cargo holder.