[Eecs_mscs] RESEARCH SEMINAR-11/16/2016-Resilient and Accurate Autonomous Vehicle Navigation via Signals of Opportunity by Zak Kassas

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RESEARCH SEMINAR
Resilient and Accurate Autonomous Vehicle Navigation via Signals of Opportunity
by
Zak Kassas, Assistant Professor of Electrical and Computer Engineering, University of California, Riverside
Director of the Autonomous Systems Perception, Intelligence, and Navigation (ASPIN) Laboratory.

Time & Place: Wednesday, November 16, 2016, 10:45-11:40am, ARC 321

Abstract:
The steady trend towards autonomous vehicles will come with a demand for full
situational awareness and extremely reliable and accurate navigation systems.
With no human in the loop, the cost of navigation system failure could be severe.
The vulnerability of GPS-only-based navigation has demonstrated the necessity
for a complementary navigation system. We propose a new navigation
framework that we call Collaborative Opportunistic Navigation. In this framework,
vehicle-mounted radios collaboratively draw relevant positioning and timing
information from ambient signals of opportunity (SOPs).
In this research, a number of radios with no a priori knowledge about their own
states are dropped in an environment comprising multiple unknown SOPs. The
radios draw pseudorange-type observations from the SOPs. The radios objective
is to build a high-fidelity signal landscape map of the environment within which
they localize themselves in space and time. Demonstrated research findings,
numerically and experimentally via specialized SOP-based navigation softwaredefined
radios mounted on ground vehicles and unmanned aerial vehicles
(UAVs) will be presented.
Bio:
Zak Kassas is an Assistant Professor of Electrical and Computer Engineering at
the University of California, Riverside and the Director of the Autonomous
Systems Perception, Intelligence, and Navigation (ASPIN) Laboratory. He
received a B.E. in E.E. from the Lebanese American University, an M.S. in
Electrical and Computer Engineering from The Ohio State University, and an
M.S.E. in Aerospace Engineering and a Ph.D. in Electrical and Computer
Engineering from The University of Texas at Austin. From 2004 through 2010 he
was a research and development engineer with the LabVIEW Control Design and
Dynamical Systems Simulation Group at National Instruments Corporation. He
has published over thirty refereed journal and conference articles, holds a U.S.
patent, and is a senior member of the IEEE. His research interests include cyberphysical
systems, navigation in GPS-challenged environments, autonomous
vehicles, target tracking, and intelligent transportation systems.


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