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[journals] final CFP Journal of Field Robotics Special Issue "High Speed Vision-Based Autonomous UAVs"

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[journals] final CFP Journal of Field Robotics Special Issue "High Speed Vision-Based Autonomous UAVs"

loiannog
Dear Colleagues,
the final deadline for papers for the special issue "High Speed
Vision-Based Autonomous UAVs" of the Journal of Field Robotics is March
6.
This is a firm deadline and it will not be extended.
This is a special issue following up the big success of the workshop on
"Vision-based High Speed Autonomous Navigation of UAVs" at IROS 2016
with over 200 people attending
http://www.seas.upenn.edu/~loiannog/workshopIROS2016uav/
Special issue "High Speed Vision-Based Autonomous UAVs".
http://www.journalfieldrobotics.org/Special_Issues.html

Important dates
• March 6, 2017 - Submission deadline manuscripts
• April 31, 2017 - Initial reviews completed
• June 15, 2017 - Decisions and author notification
• June 30, 2017 - Final manuscripts for publication

Motivation and Scope
Autonomous micro helicopters are starting to play a major role in tasks
like search and rescue, environment monitoring, security surveillance,
transportation and inspection. However, for such operations, two main
challenges arise. The use GPS based navigation is not sufficient. Fully
autonomous operation in cities or other dense environments requires
micro helicopters to fly at low altitudes, where GPS signals are often
shadowed or indoors and generally. In addition, the previous listed
tasks are executed at low speed, compromising the execution of critical
missions, which have to be typically accomplished in a limited amount of
time. Thus, a number of perception and control challenges have still to
be solved.
Papers for this special issue will focus on the systems' challenges for
small-scale and high speed navigation of aerial vehicles, where the
size, weight and payload constraints only allow light-weight sensors
like cameras, and the operating conditions of high speeds require
perception, state estimation, environment reconstruction, obstacle
avoidance and planning algorithms over longer ranges and shorter time
scales. This workshop will focus not only on the scientific foundations,
but also the algorithmic and software design challenges, which arise in
the settings of small-scale, high speed navigation in three-dimensional
environments.


Topics of interest include, but are not necessarily limited to:
•High-speed visual control and state estimation of aerial vehicles
•Long term and range perception for UAVs without GPS
•Sensor fusion for autonomous navigation in unstructured environment
•System software and hardware architectures
•Mapping and Obstacle avoidance
•Perception in challenging and dynamic environments
•Modeling and benchmarking of performances for three-dimensional
navigation
•Dynamic visual servo control of aerial vehicles
•Cooperative estimation and control with multiple aerial vehicles
•Resource constrained navigation

We encourage contributions covering topics related to navigation
autonomy of UAVs at sustained speed such as control, computer vision,
estimation, machine learning, planning and new architectures. All the
submissions should present original works that do not use motion capture
systems and GPS for control purposes, but eventually only to benchmark
the proposed solutions. In addition, the submissions must follow the
spirit of the Journal of Field Robotics, describing implemented real
systems tested and eventually deployed in regular operations. Authors
are encouraged to submit multimedia attachments to their works, i.e.,
datasets, videos.

People are welcome to contact the special issue special issue editors
for questions and clarifications.

Special Issue Editors
Giuseppe Loianno, University of Pennsylvania
Davide Scaramuzza, University of Zurich
Vijay Kumar, University of Pennsylvania

On behalf of the special issue editors.
Giuseppe Loianno

--
Dr. Giuseppe Loianno
Research Scientist and Team leader
GRASP Lab
University of Pennsylvania
www.seas.upenn.edu/~loiannog/
Main organizer of the workshop IROS 2016 in Korea
www.seas.upenn.edu/~loiannog/workshopIROS2016uav/
Media: http://wpage.unina.it/giuseppe.loianno/publications.html
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