Brain-inspired soft switching approach: towards a cognitive cruise control system

Erfu Yang, Amir Hussain, Kevin Gurney

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The field of autonomous vehicle control (AVC) is a rapidly growing one which promises improved performance, autonomy, comfort and safety for future’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.
Original languageEnglish
Title of host publicationControl Engineering and Electronics Engineering
EditorsJianxiao Zou
PublisherWIT Press
Pages57-66
Number of pages10
Volume95
ISBN (Print)978-1-78466-010-9
DOIs
Publication statusPublished - 2014

Publication series

NameWIT Transactions on Engineering Sciences
PublisherWIT Press
Volume95

Keywords

  • autonomous vehicle
  • intelligent control
  • cognitive computation
  • brain-inspired systems
  • intelligent transportation systems

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