[UAS] Roundtable with Dr. Ella Atkins Thurs March 24

[David Shaner LeBauer]

Hi all,


Dr. Ella  <https://aero.engin.umich.edu/people/atkins-ella/>Atkins
will give a seminar in the AME Department on March 24 and her talk is
titled "Environment Mapping and Flight Planning for Advanced Air Mobility".
She is very well-known in UAS autonomy and traffic management, and is
interested in meeting with members of this group. Her host is Dr. Hossein
Rastgoftar from the department of Aerospace and Mechanical Engineering.


I will host a roundtable discussion for our group with Dr. Atkins this
Thursday in AME conference room N715 from 10-11 AM. If anyone is interested
in joining either in person or remotely, please let me know.


Dr. Atkins’ talk will be at 4PM in AME S202.


Sincerely,


David


More details:


Dr. Atkins' CV is here
<https://drive.google.com/file/d/1dq59A7TNSCPxpKNbuF3AMuI0XxV3FUwH/view>.


Bio: Dr. Ella Atkins is a Professor in the University of Michigan’s
Aerospace Engineering Department where she directs the Autonomous Aerospace
Systems (A2SYS) Lab and is Associate Director of the Robotics Institute.
Dr. Atkins holds B.S. and M.S. degrees in Aeronautics and Astronautics from
MIT and M.S. and Ph.D. degrees in Computer Science and Engineering from the
University of Michigan. She is an AIAA Fellow, private pilot, and Part 107
UAS pilot. She served on the National Academy’s Aeronautics and Space
Engineering Board and the Institute for Defense Analysis Defense Science
Studies Group. She has served on several National Academy study committees
and co-authored study reports including Advancing Aerial Mobility A
National Blueprint (2020) and Autonomy Research for Civil Aviation Toward a
New Era of Flight (2014). Dr. Atkins has built a research program in
decision-making and control to assure safe contingency management in manned
and unmanned Aerospace applications. She is currently Editor-in-Chief of
AIAA Journal of Aerospace Information Systems (JAIS) and a member of the
2020-2021 AIAA Aviation Conference Executive Steering Committee.


Title:  Environment Mapping and Urgent Landing Planning for Low-Altitude
UAS Operations


Abstract: Small Unmanned Aircraft Systems (sUAS) are expected to
proliferate in low-altitude airspace over the coming decade requiring
flight near buildings and over people. Robust urgent landing capabilities
including landing site selection are required. However, conventional
fixed-wing emergency landing sites such as open fields and empty roadways
are rare in and around cities. Our work uniquely considers a city's many
unoccupied flat rooftops as possible nearby landing sites. We propose novel
methods to identify flat rooftop buildings, isolate their flat surfaces,
and find touchdown points that maximize distance to obstacles. We model
flat rooftop surfaces as polygons that capture their boundaries and
obstructions. We process satellite images, airborne LiDAR point clouds, and
map building outlines to generate rooftop maps with a multi-stage machine
learning pipeline. We propose a computational geometry method (Polylidar3D)
that reliably extracts flat rooftop surfaces from archived data sources. We
model risk as an innovative combination of landing site and path risk
metrics and conduct a multi-objective Pareto front analysis for sUAS urgent
landing in cities. A high-fidelity simulated city is constructed in the
Unreal game engine with a statistically-accurate representation of rooftop
obstacles. A summary of complementary research in contingency planning and
airspace geofencing will conclude the presentation.

-- 
David LeBauer, Ph.D.
Director of Data Sciences
CALS Communications and Cyber Technologies
THE UNIVERSITY OF ARIZONA

BSRL, 207
1230 N Cherry Ave | Tucson, AZ 85721
Office: 520-621-4381 | Cell: 760-468-8621
dlebauer at arizona.edu

*datascience.cals.arizona.edu <https://datascience.cals.arizona.edu>*
*schedule a meeting with me* <https://dlebauer.youcanbook.me/>
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[image: Safe Zone Network Training Completed Badge]

-- 
David

-- 

David LeBauer
Director of Data Sciences
CALS Comm and Technologies
THE UNIVERSITY OF ARIZONA

BSRL, 207
1230 N Cherry Ave | Tucson, AZ 85721
Office: 520-621-4381 | Cell: 760-468-8621
dlebauer at arizona.edu

datascience.cals.arizona.edu
orcid | twitter | github | linkedin
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