Name
Title | ||
|---|---|---|
Laser-based detection and depth estimation of dry and water-filled potholes: A geometric approach |
Abstract | ||
|---|---|---|
In secondary Indian roads, one often encounters potholes which can be either dry or water-filled. Accordingly, to ensure safe driving, it is imperative to detect potholes and estimate their depths in either condition. In this paper, we develop a physics-based geometric framework, where such detection and depth-estimation can be accomplished using suitable laser. Specifically, we relate dry pothole depth to measured optical deviation using simple ray optics. Further, we use Snell's law of refraction to obtain a quartic equation, and its appropriate real root to relate water-filled pothole depth to the corresponding optical deviation. Here we take into account diminishing resolu- tion with increasing distance from the camera. We conclude by experimentally validating our method. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/NCC.2015.7084929 | NCC |
Keywords | Field | DocType |
vehicular safety,dry and water-filled potholes,pothole depth estimation,pothole detection,electricity,optical imaging | Computer vision,Ray,Snell's law,Optics,Laser,Quartic function,Artificial intelligence,Optical imaging,Physics | Conference |
Citations | PageRank | References |
1 | 0.35 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vupparaboina, Kiran Kumar | 1 | 6 | 1.55 |
| Tamboli, Roopak R. | 2 | 3 | 3.52 |
| Shenu, P.M. | 3 | 1 | 0.35 |
| Soumya Jana | 4 | 196 | 24.89 |