School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China.
College of Engineering, China Agricultural University, Beijing 100083, China.
Sensors (Basel). 2022 Aug 6;22(15):5882. doi: 10.3390/s22155882.
Structural health and construction security are important problems in civil engineering. Regular infrastructure inspection and monitoring methods are mostly performed manually. Early automatic structural health monitoring techniques were mostly based on contact sensors, which usually are difficult to maintain in complex infrastructure environments. Therefore, non-contact infrastructure inspection and monitoring techniques received increasing interest in recent years, and they are widely used in all aspects of infrastructure life, owing to their convenience and non-destructive properties. This paper provides an overview of vision-based inspection and vision-laser-based monitoring techniques and applications. The inspection part includes image-processing algorithms, object detection, and semantic segmentation. In particular, infrastructure monitoring involves not only visual technologies but also different fusion methods of vision and lasers. Furthermore, the most important challenges for future automatic non-contact inspections and monitoring are discussed and the paper correspondingly concludes with state-of-the-art algorithms and applications to resolve these challenges.
结构健康和施工安全是土木工程中的重要问题。常规的基础设施检查和监测方法大多是手动进行的。早期的自动结构健康监测技术大多基于接触式传感器，这些传感器在复杂的基础设施环境中通常难以维护。因此，近年来非接触式基础设施检查和监测技术受到了越来越多的关注，由于其便利性和非破坏性，它们被广泛应用于基础设施生命周期的各个方面。本文综述了基于视觉的检查和基于视觉-激光的监测技术及其应用。检查部分包括图像处理算法、目标检测和语义分割。特别是，基础设施监测不仅涉及视觉技术，还涉及视觉和激光的不同融合方法。此外，还讨论了未来自动非接触式检查和监测的最重要挑战，并相应地总结了用于解决这些挑战的最新算法和应用。
