Name
Abstract | ||
|---|---|---|
In a pilot-study, an urban road environment detection function was considered for smart cars, as well as for self-driving cars. The implemented artificial neural network (ANN) based algorithms use the traffic sign (TS) and/or crossroad (CR) occurrences, along a route, as input. The TS-based and the CR-based classifiers were then merged into a compound one. The way this was accomplished serves as a simple, practical example of how to build upon modularity and how to retain some degree of it in functioning ANNs. |
Year | Venue | Field |
|---|---|---|
2019 | ERCIM NEWS | Data mining,Computer science,Artificial intelligence,Artificial neural network,Modularity |
DocType | Volume | Issue |
Journal | 2019 | 116 |
ISSN | Citations | PageRank |
0926-4981 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zoltán Fazekas | 1 | 0 | 1.01 |
| Gábor Balázs | 2 | 1 | 1.03 |
| Peter Gaspar | 3 | 75 | 32.34 |