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Output details

11 - Computer Science and Informatics

University of Stirling

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Article title

Autonomous intelligent cruise control using a novel multiple-controller framework incorporating fuzzy-logic-based switching and tuning

Type
D - Journal article
Title of journal
Neurocomputing
Article number
-
Volume number
71
Issue number
13-15
First page of article
2727
ISSN of journal
0925-2312
Year of publication
2008
URL
-
Number of additional authors
3
Additional information

<22> This represents the first attempt at exploiting intelligent multiple-controller learning methods for autonomous cruise control, demonstrating significant potential for emissions and fuel economy. The methodology and results have provided the springboard for commercially (SciSys Ltd. and ISC Ltd.) co-funded research in a follow-on 3-year EPSRC grant (EP/I009310/1) led by Stirling in collaboration with Sheffield (Psychology), which started in 2011, to develop next-generation cognitive controllers for autonomous vehicles, validated in planetary exploration and automotive driving scenarios.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
11
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-