Name
Abstract | ||
|---|---|---|
The visual information provided by applications facilitating urban communications such as Google Street View and Waze scene report is intuitionistic and useful since it conforms to human cognitive habits. However, current street view services cannot provide real-time information, and the scene report service is passive. An on-demand and real-time visual-information-providing mechanism is still una... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TVT.2016.2592685 | IEEE Transactions on Vehicular Technology |
Keywords | Field | DocType |
Vehicles,Roads,Real-time systems,Servers,Cloud computing,Visualization,Global Positioning System | Real-time data,Crowdsourcing,Visualization,Computer science,Data sharing,Upload,Server,Computer network,Automatic vehicle location,Cloud computing | Journal |
Volume | Issue | ISSN |
66 | 4 | 0018-9545 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiong Wang | 1 | 70 | 5.15 |
| Lei Ding | 2 | 142 | 26.77 |
| Qi Wang | 3 | 73 | 40.49 |
| Jin Xie | 4 | 0 | 0.34 |
| Tianyi Wang | 5 | 294 | 27.78 |
| Xiaohua Tian | 6 | 568 | 65.92 |
| Yunfeng Guan | 7 | 148 | 27.38 |
| Xinbing Wang | 8 | 2642 | 214.43 |