Artificial Co-Drivers as a Universal Enabling Technology for Future Intelligent Vehicles and Transportation Systems

被引:57
作者
Da Lio, Mauro [1 ]
Biral, Francesco [1 ]
Bertolazzi, Enrico [1 ]
Galvani, Marco [1 ]
Bosetti, Paolo [1 ]
Windridge, David [2 ]
Saroldi, Andrea [3 ]
Tango, Fabio [3 ]
机构
[1] Univ Trento, Dept Ind Engn, I-38123 Trento, Italy
[2] Univ Surrey, Ctr Vis Speech & Signal Proc, Surrey GU2 7XH, England
[3] Ctr Ric Fiat, I-10043 Orbassano, Italy
关键词
Advanced driver assistance systems (ADAS); artificial cognitive systems; emulation theory of cognition; intelligent vehicles; man-machine systems; optimal control (OC); OPTIMAL FEEDBACK-CONTROL; MOTOR CONTROL; MULTIBODY SYSTEMS; PERCEPTION; MODELS; SIMULATION; FRAMEWORK; PRINCIPLES; IMITATION; DYNAMICS;
D O I
10.1109/TITS.2014.2330199
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
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.
引用
收藏
页码:244 / 263
页数:20
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