Name
Abstract | ||
|---|---|---|
For survey and maintenance of traffic signs, this paper presents a novel traffic sign occlusion detection method using 3-D point clouds and trajectory data acquired by a mobile laser scanning system. To produce a maintenance guide, our method aims to obtain the degree of occlusion by analyzing the spatial relationship between traffic signs, surroundings, and drivers on the road. First, a detection... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TITS.2016.2639582 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Three-dimensional displays,Vehicles,Roads,Lasers,Maintenance engineering,Mobile communication,Visualization | Computer vision,Occlusion detection,Occlusion,Simulation,Visualization,Artificial intelligence,Traffic sign,Engineering,Point cloud,Trajectory,Maintenance engineering,Mobile telephony | Journal |
Volume | Issue | ISSN |
18 | 9 | 1524-9050 |
Citations | PageRank | References |
7 | 0.47 | 17 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pengdi Huang | 1 | 11 | 1.92 |
| Ming Cheng | 2 | 54 | 13.93 |
| Yiping Chen | 3 | 16 | 7.69 |
| Huan Luo | 4 | 7 | 0.81 |
| Cheng Wang | 5 | 218 | 32.63 |
| Jonathan Li | 6 | 798 | 119.18 |