Name
Abstract | ||
|---|---|---|
The roadside deployed light detecting and ranging (LiDAR) has been a solution to fill the data gap for the transition period from the unconnected-vehicles environment to the connected-vehicles system. For the roadside LiDAR system, background filtering is an initial but important step. This paper presented a raster-based method for background filtering with roadside LiDAR data. The proposed method contains four major parts: region of interest (ROI) selection, rasterization, background area detection, and background array generation. The location of the background points was stored in a 3D array. The performance of the raster-based method was tested with the data collected at different scenarios. The comparison to the stateof-the-art also confirmed the robustness of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/ACCESS.2019.2919624 | IEEE ACCESS |
Keywords | Field | DocType |
Background filtering,roadside LiDAR,connected-vehicles | Raster graphics,Computer science,Remote sensing,Filter (signal processing),Lidar data,Distributed computing | Journal |
Volume | ISSN | Citations |
7 | 2169-3536 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bin Lv | 1 | 15 | 3.03 |
| Hao Xu | 2 | 12 | 12.74 |
| Jianqing Wu | 3 | 4 | 2.46 |
| Yuan Tian | 4 | 6 | 8.99 |
| Changwei Yuan | 5 | 0 | 1.35 |