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 | Zhongguo Gonglu Xuebao/China Journal of Highway and Transport |
| Volume | 36 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 20 Mar 2023 |
Keywords
- 3D ground penetrating radar
- 3D reconstruction
- deep learning
- digital transport infrastructure
- review
- road engineering
- road structural defects
ASJC Scopus subject areas
- Civil and Structural Engineering
- Transportation
- Mechanical Engineering