http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
리샤주 운동을 이용한 팔레트 홀 인식 라이다 기구 설계
김경수(K. S. Kim),최경호(K. H. Choi),전원일(W. I. Jeon),손지민(J. M. Son),차형진(H. J. Cha),조방현(B. H. Cho),우상하(S. H. Woo),이대엽(D. Y. Lee) 유공압건설기계학회 2021 유공압건설기계학회 학술대회논문집 Vol.2021 No.7
Recognition of surrounding objects in industrial equipment, including unmanned forklifts, is a very important function. In order to recognize a two-dimensional object using a one-dimensional lidar, a study was conducted to develop a device that drives the lidar to recognize two-dimensional positions. In this study, a device that implements sine wave motion on two axes using two stepper motors was developed in order to recognize the features of surrounding objects by moving the one-dimensional lidar in a lissajous pattern. For this, a motion conversion mechanism was designed and applied so that the lidar can move with the required accuracy. Applying the results of this study to the device for recognizing the location of the hole in the pallet, it was confirmed that the shape and center of the hole can be recognized.
최경호(K. H. Choi),김경수(K. S. Kim),전원일(W. I. Jeon),조방현(B. H. Cho),우상하(S. H. Woo),이대엽(D. Y. Lee) 유공압건설기계학회 2021 유공압건설기계학회 학술대회논문집 Vol.2021 No.7
Since the recognition of surrounding objects is very important in industrial equipment such as unmanned vehicles, a study was conducted to recognize the features of a two-dimensional object using a one-dimensional lidar. Features were recognized and extracted using Gaussian kernel support vector classification algorithm, from which decision boundary was derived and its coordinates were extracted. Applying this study to feature recognition of the pallet hole, it was confirmed that the main features including hole center could be recognized with even small number of measurement data with reasonable accuracy.