Name
Abstract | ||
|---|---|---|
By providing rich context of lane information on roads, lane-level maps play a vital role in intelligent transportation systems. Since Global Positioning Systems (GPS) have been widely applied to vehicles, vehicle-based crowdsourcing offers an economical way to the lane-level map building by collecting and analyzing the GPS trajectories of vehicles. However, existing works cannot directly extract ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TITS.2020.3040728 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | DocType | Volume |
Trajectory,Global Positioning System,Roads,Crowdsourcing,Task analysis,Data mining,Laser radar | Journal | 23 |
Issue | ISSN | Citations |
5 | 1524-9050 | 0 |
PageRank | References | Authors |
0.34 | 29 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiangang Shu | 1 | 689 | 22.01 |
| Songlei Wang | 2 | 0 | 0.34 |
| Xiaohua Jia | 3 | 4609 | 303.30 |
| Weizhe Zhang | 4 | 287 | 53.07 |
| Ruitao Xie | 5 | 4 | 1.75 |
| Huang Hejiao | 6 | 66 | 15.07 |