Name
Title | ||
|---|---|---|
Real-Time Obstacles Detection and Status Classification for Collision Warning in a Vehicle Active Safety System. |
Abstract | ||
|---|---|---|
This paper presents real-time obstacles detection and their status classification method for collision warning in the vehicle active safety system. Specifically, stereo cameras and millimeter wave (mmw)-radar are fused to help the driving ego-vehicle to find “Danger” or “Potential Danger” in a timely way through combining with the vehicle kinematic model. The proposed method makes full use of the ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TITS.2017.2700628 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Vehicle dynamics,Cameras,Safety,Dynamics,Heuristic algorithms,Automobiles,Real-time systems | Coordinate system,Stereo cameras,Computer vision,Kinematics,Simulation,Collision,Vehicle dynamics,Artificial intelligence,Engineering,Region of interest,Cluster analysis,Optical flow | Journal |
Volume | Issue | ISSN |
19 | 3 | 1524-9050 |
Citations | PageRank | References |
1 | 0.48 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Song, Wenjie | 1 | 13 | 4.09 |
| Yi Yang | 2 | 7 | 3.97 |
| Mengyin Fu | 3 | 2 | 0.83 |
| Fan Qiu | 4 | 1 | 0.48 |
| Meiling Wang | 5 | 38 | 12.05 |