|Naturalistic studies of drivers behavior in an instrumented car|
Esigelec, an engineering school in Rouen, France, developed a car equipped with:
•4 cameras (AXIS IP cameras) •1 front radar (Autocruise) •1 read radar (Autocruise) •vehicle CAN bus (car speed, steering wheel angle, pedals position, gearbox state, lights states, gas consumption, engine RPM, etc.) •1 GPS •several analog environmental sensors (luminosity, temperature, CO & CO2 levels)
|Studies in simulator|
1. Bypass between reality and simulation The human factors department at Renault regularly runs experiments both in real cars and in driving simulators in order to assess the cognitive load of prototype advanced driving assistance systems. RTMaps provides them a way to use the same software tool almost transparently in both environments, generating the same kind of datasets (same contents and format of datasets files) and so using the same methodology for their different kinds of studies.
RTMaps components have been developed to interface the SCANeR Studio simulator from Oktal. Such components have the capability to retrieve data from the virtual car and its surroundings, which makes it possible to mix in a same experiment virtual signals from the simulator and real ones from sensors like oculometers, physiological sensors, cameras, …
Finally, the methodology also contains an auto-confrontation session where the drivers can visualize the datasets a posteriori and add their own comments about the situation they encountered. Such comments are also recorded and analyzed.