Name
Abstract | ||
|---|---|---|
It is important that a vehicle recognizes the driving context to which it is a part of. The cognition of driving events would enable an intelligent vehicle to make sense of the current driving situation in order to perform corresponding safe-driving actions to overcome obstacle and prevent road accident. By applying machine-learning techniques, driving events can be recognized with sufficient degree of precision and accordingly, safe driving actions appropriate to the given driving event could be implemented. This technique coupled with driving assistance messages directed towards the driver (semi-autonomous vehicle) or actions towards the vehicle (autonomous vehicle) is a contribution to safe driving and in reducing accident fatalities. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/MED.2019.8798589 | 2019 27th Mediterranean Conference on Control and Automation (MED) |
Keywords | Field | DocType |
cognition,driving context,driving events,intelligent vehicle,safe-driving actions,machine-learning techniques,safe driving actions,semiautonomous vehicle,autonomous vehicle,driving situation,driving event | Obstacle,Computer science,Control engineering,Cognition | Conference |
ISSN | ISBN | Citations |
2325-369X | 978-1-7281-2804-7 | 0 |
PageRank | References | Authors |
0.34 | 14 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manolo Dulva Hina | 1 | 0 | 0.34 |
| Assia Soukane | 2 | 0 | 0.34 |
| Amar Ramdane-Cherif | 3 | 128 | 39.34 |