The SADISS project aims to design and create an intelligent on-board system based on neural networks for the real-time detection of risk situations.
The system will use heterogeneous data from different sources, sensors and cameras placed inside and outside the vehicle in order to:

• create a high performance risk detection system;
• apply data fusion techniques to information: i) on the behavior and state of the driver, ii) on the state of the vehicle; iii) on the external environment
• assess the risk as broadly and accurately as possible.