@inbook{7df2fbe7e71e4c22ba2776838b23d81d,
title = "Brain-inspired soft switching approach: towards a cognitive cruise control system",
abstract = "The field of autonomous vehicle control (AVC) is a rapidly growing one which promises improved performance, autonomy, comfort and safety for future{\textquoteright}s intelligent transportation systems (ITS). In this paper, the objective is to present and demonstrate a cognitive modular approach for adaptive cruise control of autonomous/driverless vehicles by exploiting similarities between signal processing mechanisms and system architectures in control systems and the animal brain. To demonstrate the effectiveness of the proposed cognitive cruise control approach, numerical results from a case study with a realistic vehicle model is provided in this paper. ",
keywords = "autonomous vehicle, intelligent control, cognitive computation, brain-inspired systems, intelligent transportation systems",
author = "Erfu Yang and Amir Hussain and Kevin Gurney",
year = "2014",
doi = "10.2495/CCEEE140071",
language = "English",
isbn = "978-1-78466-010-9",
volume = "95",
series = "WIT Transactions on Engineering Sciences",
publisher = "WIT Press",
pages = "57--66",
editor = "Jianxiao Zou",
booktitle = "Control Engineering and Electronics Engineering",
address = "United Kingdom",
}
