Output details
11 - Computer Science and Informatics
University of Stirling
Autonomous intelligent cruise control using a novel multiple-controller framework incorporating fuzzy-logic-based switching and tuning
<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.