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To design and develop capable, dependable, and affordable
intelligent systems, their performance must be measurable.
Scienti?c methodologies for standardization and benchmarking are
crucial for quantitatively evaluating the performance of eme- ing
robotic and intelligent systems' technologies. There is currently
no accepted standard for quantitatively measuring the performance
of these systems against user-de?ned requirements; and furthermore,
there is no consensus on what obj- tive evaluation procedures need
to be followed to understand the performance of these systems. The
lack of reproducible and repeatable test methods has precluded
researchers working towards a common goal from exchanging and
communic- ing results, inter-comparing system performance, and
leveraging previous work that could otherwise avoid duplication and
expedite technology transfer. Currently, this lack of cohesion in
the community hinders progress in many domains, such as m-
ufacturing, service, healthcare, and security. By providing the
research community with access to standardized tools, reference
data sets, and open source libraries of solutions, researchers and
consumers will be able to evaluate the cost and be- ?ts associated
with intelligent systems and associated technologies. In this vein,
the edited book volume addresses performance evaluation and metrics
for intel- gent systems, in general, while emphasizing the need and
solutions for standardized methods. To the knowledge of the
editors, there is not a single book on the market that is solely
dedicated to the subject of performance evaluation and benchmarking
of intelligent systems.
To design and develop capable, dependable, and affordable
intelligent systems, their performance must be measurable.
Scienti?c methodologies for standardization and benchmarking are
crucial for quantitatively evaluating the performance of eme- ing
robotic and intelligent systems' technologies. There is currently
no accepted standard for quantitatively measuring the performance
of these systems against user-de?ned requirements; and furthermore,
there is no consensus on what obj- tive evaluation procedures need
to be followed to understand the performance of these systems. The
lack of reproducible and repeatable test methods has precluded
researchers working towards a common goal from exchanging and
communic- ing results, inter-comparing system performance, and
leveraging previous work that could otherwise avoid duplication and
expedite technology transfer. Currently, this lack of cohesion in
the community hinders progress in many domains, such as m-
ufacturing, service, healthcare, and security. By providing the
research community with access to standardized tools, reference
data sets, and open source libraries of solutions, researchers and
consumers will be able to evaluate the cost and be- ?ts associated
with intelligent systems and associated technologies. In this vein,
the edited book volume addresses performance evaluation and metrics
for intel- gent systems, in general, while emphasizing the need and
solutions for standardized methods. To the knowledge of the
editors, there is not a single book on the market that is solely
dedicated to the subject of performance evaluation and benchmarking
of intelligent systems.
This book presents new research on autonomous mobility capabilities
and shows how technological advances can be anticipated in the
coming two decades. An in-depth description is presented on the
theoretical foundations and engineering approaches that enable
these capabilities. Chapter 1 provides a brief introduction to the
4D/RCS reference model architecture and design methodology that has
proven successful in guiding the development of autonomous mobility
systems. Chapters 2 to 7 provide more detailed descriptions of
research that has been conducted and algorithms that have been
developed to implement the various aspects of the 4D/RCS reference
model architecture and design methodology. Chapters 8 and 9 discuss
applications, performance measures, and standards. Chapter 10
provides a history of Army and DARPA research in autonomous ground
mobility. Chapter 11 provides a perspective on the potential future
developments in autonomous mobility.
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