1D 라이다와 머신러닝을 활용한 팔레트 홀 중심 측정기 개발

다국어 초록 (Multilingual Abstract)

Since it is important to measure and recognize the center position of a pallet hole in unmanned logistics equipment such as an autonomous forklift, devices were made in this work to predict the center of the hole using a one-dimensional lidar and a performance evaluation was performed. The hole boundaries were predicted using the support vector machine classifier from the data measured using 1 D lidar, from which the hole center coordinates were estimated. As a result of the study, it can be seen that it shows high accuracy even with a small training data set. And, it is possible to recognize and predict the center of the pallet hole with high accuracy using a low-cost lidar.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 1차원 라이다의 기본 특성
• 3. 1차원 라이다 운동 기구 설계
• 4. 팔레트 홀 중심 측정 결과
• 4. 결론
• 참고문헌