DocumentCode
1757170
Title
Artificial Co-Drivers as a Universal Enabling Technology for Future Intelligent Vehicles and Transportation Systems
Author
Da Lio, M. ; Biral, F. ; Bertolazzi, E. ; Galvani, M. ; Bosetti, P. ; Windridge, D. ; Saroldi, A. ; Tango, F.
Author_Institution
Dept. of Ind. Eng., Univ. of Trento, Trento, Italy
Volume
16
Issue
1
fYear
2015
fDate
Feb. 2015
Firstpage
244
Lastpage
263
Abstract
This position paper introduces the concept of artificial “co-drivers” as an enabling technology for future intelligent transportation systems. In Sections I and II, the design principles of co-drivers are introduced and framed within general human-robot interactions. Several contributing theories and technologies are reviewed, specifically those relating to relevant cognitive architectures, human-like sensory-motor strategies, and the emulation theory of cognition. In Sections III and IV, we present the co-driver developed for the EU project interactIVe as an example instantiation of this notion, demonstrating how it conforms to the given guidelines. We also present substantive experimental results and clarify the limitations and performance of the current implementation. In Sections IV and V, we analyze the impact of the co-driver technology. In particular, we identify a range of application fields, showing how it constitutes a universal enabling technology for both smart vehicles and cooperative systems, and naturally sets out a program for future research.
Keywords
automobiles; cognition; human-robot interaction; intelligent transportation systems; artificial co-driver design principles; cognition emulation theory; cognitive architectures; cooperative systems; human-like sensory-motor strategies; human-robot interactions; intelligent transportation systems; intelligent vehicles; interactIVe EU project; smart vehicles; universal enabling technology; Cognition; Computer architecture; Integrated circuit modeling; Optimal control; Vehicle dynamics; Vehicles; Advanced driver assistance systems (ADAS); artificial cognitive systems; emulation theory of cognition; intelligent vehicles; man–machine systems; man???machine systems; optimal control (OC);
fLanguage
English
Journal_Title
Intelligent Transportation Systems, IEEE Transactions on
Publisher
ieee
ISSN
1524-9050
Type
jour
DOI
10.1109/TITS.2014.2330199
Filename
6853398
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