Name
Title | ||
|---|---|---|
Fast Joint Object Detection and Viewpoint Estimation for Traffic Scene Understanding. |
Abstract | ||
|---|---|---|
Environment perception is a critical enabler for automated driving systems since it allows a comprehensive understanding of traffic situations, which is a requirement to ensure safe and reliable operation. Among the different applications, obstacle identification is a primary module of the perception system. We propose a vision-based method built upon a deep convolutional neural network that can r... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MITS.2018.2867526 | IEEE Intelligent Transportation Systems Magazine |
Keywords | Field | DocType |
Advanced driver assistance systems,Vehicle safety,Task analysis,Object detection,Object recognition,Road safety,Feature extraction | Obstacle,Computer vision,Object detection,Perception system,Convolutional neural network,Simulation,Ground plane,Artificial intelligence,Engineering,Traffic scene,Perception,Computation | Journal |
Volume | Issue | ISSN |
10 | 4 | 1939-1390 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlos Guindel | 1 | 8 | 1.87 |
| David Martín | 2 | 85 | 13.85 |
| José María Armingol | 3 | 213 | 24.74 |