Open AccessCross-modal information flows in highly automated vehicles
Author(s) -
В. В. Савченко,
Sergey N. PODDUBKO
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/534/1/012003
Subject(s) - modal , computer science , situation awareness , perspective (graphical) , situational ethics , state (computer science) , situation analysis , control (management) , basis (linear algebra) , artificial intelligence , engineering , aerospace engineering , algorithm , mathematics , chemistry , geometry , marketing , law , polymer chemistry , political science , business
The classification of cross-modal information flows in highly automated and autonomous vehicles is presented. The definition of cross-modal interaction in the highly automated vehicles is given and the goal of the analysis of heterogeneous information flows in onboard systems of vehicles is formulated. From the interdisciplinary perspective, on the basis of the system approach, the main provisions of the original method for analyzing the driver’s potential to regain control of the highly automated vehicle are formulated. They are based on the driver’s awareness of the situational circumstances along the route, monitoring the current functional state and individual driver’s characteristics.