A neurofuzzy approach to future intelligent driver support systems

Matthews, N. D., An, P. E., Roberts, Jonathan M., & Harris, C. J. (1998) A neurofuzzy approach to future intelligent driver support systems. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 212(1), pp. 43-58.

View at publisher

Abstract

This paper reviews a variety of advanced signal processing algorithms that have been developed at the University of Southampton as part of the Prometheus (PROgraMme for European Traffic flow with Highest Efficiency and Unprecedented Safety) research programme to achieve an intelligent driver warning system (IDWS). The IDWS includes: visual detection of both generic obstacles and other vehicles, together with their tracking and identification, estimates of time to collision and behavioural modelling of drivers for a variety of scenarios. These application areas are used to show the applicability of neurofuzzy techniques to the wide range of problems required to support an IDWS, and for future fully autonomous vehicles.

Impact and interest:

9 citations in Scopus
Search Google Scholar™
9 citations in Web of Science®

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 83476
Item Type: Journal Article
Refereed: Yes
Keywords: Neurofuzzy, Control, Collision avoidance, Cruise control, Driver modelling
DOI: 10.1243/0954407981525786
ISSN: 2041-2991
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2008 IMechE
Deposited On: 09 Apr 2015 23:42
Last Modified: 09 Apr 2015 23:42

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page