Name
Abstract | ||
|---|---|---|
The goal of the project is to design intelligent and robust image-processing and augmented-reality algorithms for driver assistance and enhanced vehicular safety. In particular, the focuses were two-fold: (1) realizing the abilities to identify and localize in a vehicle''s on-board video the sweeping windshield wipers during raining days and (2) designing and implementing an in-painting technique to remove the image of the windshield wipers and replace it with the corresponding pixels (not blocked by the wipers) from an adjacent video frame. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/VTCFall.2014.6965965 | VTC Fall |
Keywords | DocType | Citations |
video signal processing,robust image-processing,vehicular safety enhancement,adverse weather,windshield wiper image removal,road safety,augmented-reality algorithms,raining days,in-painting technique,intelligent image-processing,augmented reality,vehicle on-board video,object recognition,computer vision,driver information systems,computer vision analysis,driver assistance,video frame,windshield wipers | Conference | 3 |
PageRank | References | Authors |
0.41 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Che-Tsung Lin | 1 | 12 | 5.63 |
| Yu-Chen Lin | 2 | 28 | 11.20 |
| Long-Tai Chen | 3 | 5 | 3.54 |
| Yuan-Fang Wang | 4 | 835 | 137.72 |