Robust Lane Detection Algorithm for Autonomous Trucks in Container Terminal

• 발행기관: 한국항해항만학회
• 저자명: Ngo Quang Vinh Sam-Sang You Le Ngoc Bao Long Hwan-Seong Kim
• 간행물 정보: 『한국항해항만학회 학술대회논문집』2023 춘계학술대회논문집, 252~253쪽, 전체 2쪽
• 주제분류: 공학 > 해양공학
• 파일형태: PDF
• 발행일자: 2023.05.04

국문 초록

Container terminal automation might offer many potential benefits, such as increased productivity, reduced cost, and improved safety. Autonomous trucks can lead to more efficient container transport. A robust lane detection method is proposed using score-based generative modeling through stochastic differential equations for image-to-image translation. Image processing techniques are combined with Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and Genetic Algorithm (GA) to ensure lane positioning robustness. The proposed method is validated by a dataset collected from the port terminals under different environmental conditions and tested the robustness of the lane detection method with stochastic noise.

키워드

Container Terminal Lane Detection Image Processing Stochastic Differential Equation Deep Learning