Name
Title | ||
|---|---|---|
Automatic Vehicle Tracking with Roadside LiDAR Data for the Connected-Vehicles System |
Abstract | ||
|---|---|---|
The existing connected-vehicle deployments obtain the real-time status of connected vehicles, but without knowing the unconnected traffic. It is urgent to find an approach to collecting the high-resolution real-time status of unconnected road users. This paper introduces a new-generation light detection and ranging (LiDAR) enhanced connected infrastructures that actively sense the high-resolution ... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/MIS.2019.2918115 | IEEE Intelligent Systems |
Keywords | Field | DocType |
Laser radar,Roads,Sensors,Data processing,Filtering,Real-time systems,Connected vehicles | Data mining,Data processing,Radar tracker,Computer science,Filter (signal processing),Real-time computing,Lidar,Ranging,Cluster analysis,Vehicle tracking system,Dedicated short-range communications | Journal |
Volume | Issue | ISSN |
34 | 3 | 1541-1672 |
Citations | PageRank | References |
2 | 0.38 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuepeng Cui | 1 | 2 | 0.38 |
| Hao Xu | 2 | 12 | 12.74 |
| Jianqing Wu | 3 | 4 | 2.46 |
| Yuan Sun | 4 | 15 | 11.64 |
| Junxuan Zhao | 5 | 4 | 1.45 |