Artificial co-drivers as a universal enabling technology for future intelligent vehicles and transportation systems

Da Lio, Mauro, Biral, Francesco, Bertolazzi, Enrico, Galvani, Marco, Bosetti, Paolo, Windridge, David, Saroldi, Andrea and Tango, Fabio (2015) Artificial co-drivers as a universal enabling technology for future intelligent vehicles and transportation systems. IEEE Transactions on Intelligent Transportation Systems, 16 (1). pp. 244-263. ISSN 1524-9050

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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.

Item Type: Article
Additional Information: Date of Publication : 11 July 2014
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 19480
Useful Links:
Depositing User: David Windridge
Date Deposited: 22 Apr 2016 10:25
Last Modified: 02 Jun 2019 08:28
URI: https://eprints.mdx.ac.uk/id/eprint/19480

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