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

loiannog loiannog at seas.upenn.edu
Tue Dec 13 10:14:21 PST 2016

Dear Colleagues,
after the big success of the workshop on "Vision-based High Speed 
Autonomous Navigation of UAVs" at IROS 2016
with over 200 people attending, we are pleased to announce the Journal 
of Field Robotics special issue "High Speed Vision-Based Autonomous 

Important dates
• Nov 1, 2016 - January 31, 2016 - Submit manuscripts
• March 31, 2017 - Initial reviews completed
• May 15, 2017 - Decisions and author notification
• June 15, 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 

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 
•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 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 editors.
Giuseppe Loianno

Dr. Giuseppe Loianno
Research Scientist and Team leader
University of Pennsylvania
Main organizer of the workshop IROS 2016 in Korea
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