Name
Title | ||
|---|---|---|
Detection of vehicle wheels from images using a pseudo-wavelet filter for analysis of congested traffic. |
Abstract | ||
|---|---|---|
There is potential for significant savings if the safety of existing bridges can be more accurately assessed. For long-span bridges, congestion is the governing traffic load condition. The current methods of simulating congestion make assumptions about the axle-to-axle gaps maintained between vehicles. There is potential for improvement in congestion models if accurate data on axle-to-axle gaps ca... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1049/iet-ipr.2018.5369 | IET Image Processing |
Keywords | Field | DocType |
bridges (structures),Hough transforms,image filtering,image matching,road traffic,wheels | Template matching,Computer vision,Pattern recognition,Traffic load,Image processing,Hough transform,Artificial intelligence,Wavelet filter,Mathematics | Journal |
Volume | Issue | ISSN |
12 | 12 | 1751-9659 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eugene J. OBrien | 1 | 2 | 2.43 |
| Colin C. Caprani | 2 | 0 | 0.68 |
| Serena Blacoe | 3 | 0 | 0.34 |
| dong guo | 4 | 11 | 6.44 |
| Abdollah Malekjafarian | 5 | 2 | 1.44 |