Review Article
Applications of Artificial Intelligence Enhanced Drones in Distress Pavement, Pothole Detection, and Healthcare Monitoring with Service Delivery
Table 4
Digital image technology for potholes detection.
| Sr. No. | References | Year | Detection method | Image feature extraction method | Results |
| 1. | She et al. [40] | 2021 | Laser, digital camera, and CMOS sensor | 3D line laser technology | Achieves higher precision and gives sufficiently accurate results | 2. | Silva et al. [93] | 2020 | Digital camera | (MAS) PANGEA with (YOLO) v4 | Gives accurate and promising results | 3. | Gao et al. [94] | 2020 | Digital camera | LIBSVM | Gives superior segmentation effects and processing efficiency | 4. | Wang et al. [78] | 2017 | Digital camera | Markov random field model, geometric criteria, and morphological processing | Effectively distinguishes and accurately segments potholes | 5. | Li et al. [79] | 2016 | GPS, stereovision systems, and GPR | Region-based segmentation and morphological operations | Achieves accuracy in results | 6. | Koch and Brilakis [81] | 2011 | Digital camera | Elliptic regression and morphological thinning | Shows reasonable accuracy | 7. | Lin and Liu [80] | 2010 | Digital camera | SVM | Achieves a high recognition rate |
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