Name
Abstract | ||
|---|---|---|
The goal of this paper is to apply some of the best-known machine learning techniques to a practical problem in the automotive field: the identification and classification of the user's intentions in performing specific driving maneuvers. Data have been collected by a static driving simulator. These models are then analyzed and compared, in order to select the best car-following maneuver classifier. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-10291-2_40 | AI*IA |
Keywords | Field | DocType |
best-known machine,specific driving maneuvers,automotive field,ml techniques,practical problem,static driving simulator,car-following maneuver classifier,car-following maneuver,neural network,machine learning,hidden markov model,support vector machine | Structured support vector machine,Driving simulator,Computer science,Support vector machine,Artificial intelligence,Classifier (linguistics),Artificial neural network,Linear classifier,Cognitive architecture,Hidden Markov model,Machine learning | Conference |
Volume | ISSN | Citations |
5883 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabio Tango | 1 | 54 | 7.74 |
| Marco Botta | 2 | 284 | 41.98 |