Name
Abstract | ||
|---|---|---|
The primary goal of an automotive headlight is to improve safety in low light and poor weather conditions. But, despite decades of innovation on light sources, more than half of accidents occur at night even with less traffic on the road. Recent developments in adaptive lighting have addressed some limitations of standard headlights, however, they have limited flexibility - switching between high and low beams, turning off beams toward the opposing lane, or rotating the beam as the vehicle turns - and are not designed for all driving environments. This paper introduces an ultra-low latency reactive visual system that can sense, react, and adapt quickly to any environment while moving at highway speeds. Our single hardware design can be programmed to perform a variety of tasks. Anti-glare high beams, improved driver visibility during snowstorms, increased contrast of lanes, markings, and sidewalks, and early visual warning of obstacles are demonstrated. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-10593-2_49 | COMPUTER VISION - ECCV 2014, PT IV |
Keywords | Field | DocType |
Adaptive headlights, reactive visual system, computational illumination | Computer vision,Visibility,Computer science,Latency (engineering),Simulation,Real-time computing,Artificial intelligence,Adaptive control,Automotive industry | Conference |
Volume | ISSN | Citations |
8692 | 0302-9743 | 9 |
PageRank | References | Authors |
0.60 | 3 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Robert Tamburo | 1 | 16 | 2.65 |
| Eriko Nurvitadhi | 2 | 399 | 33.08 |
| Abhishek Chugh | 3 | 9 | 0.93 |
| Mei Chen | 4 | 418 | 36.25 |
| Anthony Rowe | 5 | 878 | 77.76 |
| Takeo Kanade | 6 | 25073 | 4203.02 |
| Narasimhan, S.G. | 7 | 2348 | 169.35 |