Name
Abstract | ||
|---|---|---|
Vibrations often cause visual fatigue for drivers, and measuring the relative motion between the driver and the display is important for evaluating this visual fatigue. This paper proposes a non-contact videometric measurement method for studying the three-dimensional trajectories of the driver's eyes based on stereo vision. The feasibility of this method is demonstrated by dynamic calibration. A high-speed dual-camera image acquisition system is used to obtain high-definition images of the face, and the relative trajectories between the eyes and the display are obtained by a set of robust algorithms. The trajectories of the eyes in three-dimensional space are then reconstructed during the vehicle driving process. This new approach provides three-dimensional information and is effective for assessing how vibration affects human visual performance. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3390/s19102217 | SENSORS |
Keywords | Field | DocType |
visual fatigue,construction of three-dimensional trajectories,human eye tracking,dynamic visual measurement | Computer vision,Stereopsis,Relative motion,Vehicle driving,Electronic engineering,Eye movement,Artificial intelligence,Vibration,Engineering,Calibration | Journal |
Volume | Issue | ISSN |
19 | 10.0 | 1424-8220 |
Citations | PageRank | References |
1 | 0.38 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jin Zhang | 1 | 4 | 2.17 |
| Ze Yang | 2 | 9 | 2.57 |
| Huaxia Deng | 3 | 4 | 2.17 |
| Huan Yu | 4 | 46 | 13.63 |
| Mengchao Ma | 5 | 5 | 2.60 |
| Xiang Zhong | 6 | 3 | 1.48 |