Metrics for Intelligent Vehicles to be Examined in Government Workshop
IVsource.net
19 June 2003

In the 4^th Performance Metrics for Intelligent Systems Workshop, being held September 16-18 in Gaithersburg, Maryland, organizers have added a special session on metrics for intelligent vehicles.

In the 4^th Performance Metrics for Intelligent Systems Workshop, being held September 16-18 in Gaithersburg, Maryland, organizers have added a special session on metrics for intelligent vehicles.

This is the fourth workshop in a series targeted at defining measures and methodologies for evaluating performance of intelligent systems.  In this year’s event, participants will examine more closely applications of performance measures to practical problems in commercial, industrial, and military applications.  In order to provide researchers, users, and developers of intelligent systems with meaningful and usable measures and methodologies, the workshop will draw upon measurement technologies and practices from other disciplines.

The workshop is sponsored by the National Institute of Standards and Technology (NIST), the Defense Advanced Research Projects Agency (DARPA), and various IEEE societies.  Papers and invited sessions are now being sought.

Topic areas include areas such as technology readiness levels, uncertainty measures, complexity measures, levels of autonomy, and cognitive science approaches.  Also, the concept of measuring components of intelligent systems is explored, in areas such as sensing and perception, modeling of knowledge content, planning and control, learning and adapting, and communications with humans.

As part of the workshop, the special session on intelligent vehicles will include an emphasis on leveraging existing efforts that are researching human drivers in the areas of behavior understanding, knowledge representation, and performance metrics.  Particular areas to be considered include:

• Describing key studies of human drivers that could have a potential impact on defining metrics for autonomous systems

• Understanding performance metrics that are currently applied to human drivers

• Exploring the application of human driver performance studies to autonomous systems

• Utilizing existing knowledge sources, tailored for human drivers, to derive metrics for autonomous systems

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For More Information ...

... see the conference information website.

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