Researchers from the Intelligent Vehicles Laboratory of the Polytechnic University of Cartagena (UPCT) this week recorded the driving mode and biomedical parameters of fifty volunteers at the wheel of their autonomous vehicle as part of a project for the Traffic Department ( DGT) that seeks to create models of Artificial Intelligence that imitate human driving and are activated depending on the driver's condition.
By registering with its multiple sensors and cameras different driver profiles, the autonomous vehicle can be programmed with different driving modules, "to act more flexibly, as a human would do", according to the responsible researcher, Pedro Javier Navarro.
The volunteers have carried a biomedical clock that has captured their heart rate, sweating and temperature, with the aim that future intelligent vehicles can activate their autonomous mode to avoid accidents such as those associated with drowsiness or driver stress.
"The objective is to obtain more realistic behavior models and associated with the type of road and real traffic situations to improve autonomous vehicles," explains the teacher of the School of Telecommunications of the UPCT.
The tests have been carried out in the Fuente Álamo Technology Park, around the Technological Development and Innovation Center (CEDIT) of the Polytechnic, in a controlled traffic environment, and with the Cloud Incubator Car (CIC), a vehicle that has high definition sensors that capture 1.3 million points per second with an accuracy of two centimeters, as well as vision cameras and an inertial unit with GPS.
Source: UPCT