Abstract
Road information is the key to the decision-making of digital traffic infrastructure and maintenance behavior. The application of advanced detection equipment is the way to obtain road information. The high-efficiency, and non-destructive detection characteristics of 3D Ground Penetrating Radar (3D GPR) can support the acquisition of road structural defects data. This paper reviews the typical types of road structural defects, detection methods, etc. The major principles of 3D GPR technology, and its application on road engineering are introduced afterwards. Subsequently, this paper concludes the application and development of artificial intelligence technology in GPR image recognition technology according to the structural defect characteristics and recognition methods. According to the development of traffic infrastructure, this paper looks forward to the digital twin technology based on 3D GPR data, mainly introduces the modeling and model simulation methods. The review can provide basic theoretical knowledge and practical methods for 3D GPR road structural defections detection and provide guidance for digital transport infrastructure construction and road maintenance based on 3D GPR data.
| Translated title of the contribution | Road Structural Defects Detection and Digitalization Based on 3D Ground Penetrating Radar Technology: A State-of-the-art Review |
|---|---|
| Original language | Chinese (Simplified) |
| Pages (from-to) | 1-19 |
| Number of pages | 19 |
| Journal | 中国公路学报 |
| Volume | 36 |
| Issue number | 3 |
| Online published | 20 Mar 2023 |
| DOIs | |
| Publication status | Published - Mar 2023 |
Research Keywords
- 道路工程
- 交通基础设施数字化
- 综述
- 三维探地雷达
- 道路病害
- 深度学习
- 三维重建
- road engineering
- digital transport infrastructure
- review
- 3D ground penetrating radar
- road structural defects
- deep learning
- 3D reconstruction
