Pavement defect detection is essential for ensuring road structural integrity and traffic safety. Traditional visual inspections and sensor-based methods suffer from efficiency and cost limitations, while existing deep-learning-based approaches still face practical constraints. This study proposes an improved AMSW-...
Ming Wang, Wan-Qi Ma, Zhao-Xue Wu et al.· Journal of construction engi...· 0 citations
Under heavy traffic loads, pavement cracks have become a major factor affecting asphalt pavement performance, while conventional rehabilitation remains time-consuming and labour-intensive. Intelligent maintenance equipment offers an effective way to improve repair efficiency. Although deep learning methods have been wi...
Yuchi Lei, Liuzhen Ren, Jiangzhuo Ren et al.· Proceedings of the Instituti...· 0 citations
Human–robot collaborative flexible job shop scheduling (HRC-FJSP) must coordinate heterogeneous capabilities, mode-dependent processing times, safety feasibility, and carbon constraints. The problem becomes harder when a collaboration mode that is attractive during planning becomes infeasible after a human enters the r...