Name
Title | ||
|---|---|---|
Obstacle Prediction for Automated Guided Vehicles Based on Point Clouds Measured by a Tilted LIDAR Sensor. |
Abstract | ||
|---|---|---|
Environment analysis of automatic vehicles needs the detection from 3-D point cloud information. This paper addresses this task when only partial scanning data are available. Our method develops the detection capabilities of autonomous vehicles equipped with 3-D range sensors for navigation purposes. In industrial practice, the safety scanners of automated guided vehicles (AGVs) and a localization... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TITS.2018.2790264 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Three-dimensional displays,Laser radar,Robot sensing systems,Two dimensional displays,Shape,Autonomous vehicles,Object recognition | Computer vision,Obstacle,Categorization,Bag of features,Lidar,Planar,Artificial intelligence,Engineering,Point cloud,Cognitive neuroscience of visual object recognition | Journal |
Volume | Issue | ISSN |
19 | 8 | 1524-9050 |
Citations | PageRank | References |
8 | 0.65 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zoltan Rozsa | 1 | 9 | 1.71 |
| Sziranyi, T. | 2 | 395 | 44.76 |