Neural Networks for Driver Behavior Analysis

Fabio Martinelli, Fiammetta Marulli, Francesco Mercaldo, Antonella Santone
2021 Electronics  
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
more » ... erimental analysis performed on real-world data shows that the proposed method obtains encouraging results.
doi:10.3390/electronics10030342 fatcat:w7q7yoqry5gkbbk32t7eilwwqu