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| Sr. No. | References | Years | Methodologies | Contributions |
|
| 1. | Shukla et al. [4] | 2016 | AI and imaging | (i) Solves many biomedical problems
(ii) Increases the diagnosing, studying, understanding, monitoring, and treating abilities for medical disorders |
| 2. | Chakraborty and Kalyani [5] | 2020 | Deep learning | (i) Details the recent growth and limitations of the current systems |
| 3. | Jiang et al. [6] | 2013 | Computer vision algorithms and imaging | (i) Shows huge potential in the described challenges |
| 4. | Beltrán-González et al. [7] | 2020 | Computer vision and Machine learning | (i) Provides encouraging performances |
| 5. | Seo et al. [8] | 2015 | Computer vision | (i) Assists in health monitoring and construction safety |
| 6. | Ismail [9] | 2010 | Computer vision | (i) Shows effectiveness of a safety treatment
(ii) Helps in reducing the traffic events |
| 7. | Zhang et al. [10] | 2018 | 3D laser profiling | (i) Detect cracks, subsides, potholes, shoving, rutting, and shoving with high accuracy |
| 8. | Kim et al. [11] | 2017 | IR thermal imaging | (i) Provides statistical correlation between fracture resistance and temperature differential |
| 9. | Loizos and Plati [12] | 2007 | Ground-penetrating radar (GPR) | (i) Effectively and accurately estimates pavement asphalt layer thicknesses |
| 10. | Moropoulou et al. [13] | 2002 | IR thermography and GPR | (i) Detects cracks, voids, etc. efficiently in airport pavements |
| 11. | Saad and Tahar [14] | 2019 | Multirotor UAV | (i) Identifies rut and pothole accurately
(ii) boosts the effectiveness of road conditions monitoring (RCM) |
| 12. | Blasiis et al. [15] | 2020 | LiDAR | (i) Provides good correlation
(ii) Proves to be useful for maintenance works planning |
| 13. | Jobaer et al. [16] | 2020 | UAV-assisted AODV | (i) Reduces the delays, and increases the ratio of packet delivery
(ii) Saves more energy |
| 14. | Rahman et al. [17] | 2021 | UAVs and a deep Laplacian pyramid with a super-resolution network and a fine-tuning strategy | (i) Proves to be a simpler and more efficient one
(ii) Shows robust diagnostic capabilities and fault recognition |
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