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The age of Advanced Air Mobility (AAM) is upon us, and in ushering
new ways to connect and travel, this wave of technology has been
compared to GPS and cloud computing. However, new technologies like
AAM require tools to build, expand, and understand the
capabilities. This book describes an effective and efficient,
complete solution to the large-scale, unmanned aircraft systems
(UAS) traffic management problem. The authors present a detailed
perspective and solutions to some of the major problems involved in
coordinating thousands of autonomous vehicles including: virtual
highway (lane) creation, strategic deconfliction of flights,
dynamic deconfliction, UAS agent behavior learning, anomalous
trajectory detection and classification, as well as a set of
simulation results for a variety of scenarios (city package
delivery, earthquake supply delivery, coalition force coordination
through the lane reservation system, etc.).
This book covers up-to-date methods and algorithms for the
automated analysis of engineering drawings and digital cartographic
maps. The Non-Deterministic Agent System (NDAS) offers a parallel
computational approach to such image analysis. The book describes
techniques suitable for persistent and explicit knowledge
representation for engineering drawings and digital maps. It also
highlights more specific techniques, e.g., applying robot
navigation and mapping methods to this problem. Also included are
more detailed accounts of the use of unsupervised segmentation
algorithms to map images. Finally, all these threads are woven
together in two related systems: NDAS and AMAM (Automatic Map
Analysis Module).
This book covers up-to-date methods and algorithms for the
automated analysis of engineering drawings and digital cartographic
maps. The Non-Deterministic Agent System (NDAS) offers a parallel
computational approach to such image analysis. The book describes
techniques suitable for persistent and explicit knowledge
representation for engineering drawings and digital maps. It also
highlights more specific techniques, e.g., applying robot
navigation and mapping methods to this problem. Also included are
more detailed accounts of the use of unsupervised segmentation
algorithms to map images. Finally, all these threads are woven
together in two related systems: NDAS and AMAM (Automatic Map
Analysis Module).
This book contains the written record of the NATO Advanced Research
Workshop on Traditional and Non-Traditional Robotic Sensors held in
the Hotel Villa del Mare, Maratea, Italy, August 28 - September 1,
1989. This workshop was organized under the auspicies of the NATO
Special Program on Sensory Systems for Robotic Control. Professor
Frans Groen from the University of Amsterdam and Dr. Gert Hirzinger
from the German Aerospace Research Establishment (DLR) served as
members of the organizing committee for this workshop. Research in
the area of robotic sensors is necessary in order to support a wide
range of applications, including: industrial automation, space
robotics, image analysis, microelectronics, and intelligent
sensors. This workshop focused on the role of traditional and
non-traditional sensors in robotics. In particular, the following
three topics were explored: - Sensor development and technology, -
Multisensor integration techniques, - Application area requirements
which motivate sensor development directions. This workshop'brought
together experts from NATO countries to discuss recent developments
in these three areas. Many new directions (or new directions on old
problems) were proposed. Existing sensors should be pushed into new
application domains such as medical robotics and space robotics.
The age of Advanced Air Mobility (AAM) is upon us, and in ushering
new ways to connect and travel, this wave of technology has been
compared to GPS and cloud computing. However, new technologies like
AAM require tools to build, expand, and understand the
capabilities. This book describes an effective and efficient,
complete solution to the large-scale, unmanned aircraft systems
(UAS) traffic management problem. The authors present a detailed
perspective and solutions to some of the major problems involved in
coordinating thousands of autonomous vehicles including: virtual
highway (lane) creation, strategic deconfliction of flights,
dynamic deconfliction, UAS agent behavior learning, anomalous
trajectory detection and classification, as well as a set of
simulation results for a variety of scenarios (city package
delivery, earthquake supply delivery, coalition force coordination
through the lane reservation system, etc.).
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