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Neural Networks for Driver Behavior Analysis
| Content Provider | MDPI |
|---|---|
| Author | Martinelli, Fabio Marulli, Fiammetta Mercaldo, Francesco Santone, Antonella |
| Copyright Year | 2021 |
| Description | The proliferation of info-entertainment systems in nowadays vehicles has provided a really cheap and easy-to-deploy platform with the ability to gather information about the vehicle under analysis. With the purpose to provide an architecture to increase safety and security in automotive context, in this paper we propose a fully connected neural network architecture considering position-based features aimed to detect in real-time: (i) the driver, (ii) the driving style and (iii) the path. The experimental analysis performed on real-world data shows that the proposed method obtains encouraging results. |
| Starting Page | 342 |
| e-ISSN | 20799292 |
| DOI | 10.3390/electronics10030342 |
| Journal | Electronics |
| Issue Number | 3 |
| Volume Number | 10 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-02-01 |
| Access Restriction | Open |
| Subject Keyword | Electronics Industrial Engineering Transportation Science and Technology Automotive Artificial Intelligence Neural Network Machine Learning Deep Learning Safety |
| Content Type | Text |
| Resource Type | Article |
