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- W2016301059 abstract "현재 건설 산업에서 나타나고 있는 숙련공 부족 현상, 기술자의 고령화 문제, 안전상의 문제 등을 해결하기 위한 대안으로써 자동화 건설기계들의 개발 요구가 점점 늘어나고 있다. 특히 토공작업은 매우 기계 의존적인 작업이기 때문에 자동화 건설기계의 개발과 관련된 연구가 많이 이루어지고 있으며, 자동화 굴삭기를 개발하는 데 있어서는 안전을 확보하는 것이 매우 중요하다. 본 연구에서는 토공작업을 효율적으로 할 수 있도록 토공작업 시 작업환경의 안전을 위해, 레이저센서를 이용하여 자동화 굴삭기의 안전관리 시스템에 활용하기 위한 장애물 탐지 기술을 개발하고자 한다. 또한 요소기술로 선정된 레이저 센서의 입증된 성능을 바탕으로 여러 대의 센서를 동시에 구동하는 전방위 탐지 기술 개발을 목적으로 하였고, 굴삭기 장착 실험의 이전 과정으로 전방위 탐지 기술에 대한 토공사 현장에서의 기능테스트 및 사용자 인터페이스 작동 실험을 실시한다. 이는 자동화 굴삭기의 안전관리 시스템에 적용 가능한 기술로써 활용될 수 있을 것이다. The demand for the development of automated construction equipments is gradually increasing to deal with the current problems of construction technology, such as a lack of experienced workers, the aging of engineers, safety issues, etc. In particular, earth work such as excavation is very machine-dependent, and there has been a great deal of research on the development of an intelligent excavator, which involves great safety concerns. Thus, the objective of this study is to develop the technology to enhance the safety of intelligent excavation systems by developing an omnidirectional object detection technology for the intelligent excavator and applying it to a user-friendly system. The existing literature was reviewed, and the function of various sensor technologies was investigated and analyzed. Then, the best laser sensor was selected for an experiment to determine its effectiveness. An omnidirectional object detection algorithm was developed for a user interface program, and this can be used as the fundamental technology for the development of a safety management system for an intelligent excavator." @default.
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- W2016301059 date "2010-08-20" @default.
- W2016301059 modified "2023-09-26" @default.
- W2016301059 title "Development of Omnidirectional Object Detecting Technology for a Safer Excavator" @default.
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- W2016301059 doi "https://doi.org/10.5345/jkic.2010.10.4.105" @default.
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