A value-based scheduling approach for real-time autonomous vehicle control

Authors:
D. Prasad;A. Burns
Affiliations:
Real-Time Systems Research Group, Department of Computer Science, University of York, York YO10 5DD (UK);Real-Time Systems Research Group, Department of Computer Science, University of York, York YO10 5DD (UK)
Venue:
Robotica
Year:
2000

Citing 3
Cited 4

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Abstract

In future real-time systems such as those required for intelligent autonomous vehicle control, we need flexibility in choosing the set of services to support under varying environmental conditions and system states. It is not feasible to make an optimal choice of services at run-time, so we propose a method of ranking the services pre-run-time, based on the ‘utility' of each service. This paper focuses on the problem of calculating a ‘value' for the utility of each service alternative. We show how to derive values systematically and rationally, using Measurement Theory and Decision Analysis. The approach relies on engineering judgement and data input by a domain expert. In the context of autonomous vehicles, we believe that such knowledge would be available, making ‘value-based scheduling' a feasible approach.