Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
Bringing Simulation to Life: A Mixed Reality Autonomous Intersection Michael Quinlan, Tsz-Chiu Au, Jesse Zhu, Nicolae Stiurca, Peter Stone
 

Summary: Bringing Simulation to Life: A Mixed Reality Autonomous Intersection
Michael Quinlan, Tsz-Chiu Au, Jesse Zhu, Nicolae Stiurca, Peter Stone
Abstract-- Fully autonomous vehicles are technologically fea-
sible with the current generation of hardware, as demonstrated
by recent robot car competitions. Dresner and Stone proposed
a new intersection control protocol called Autonomous Inter-
section Management (AIM) and showed that with autonomous
vehicles it is possible to make intersection control much
more efficient than the traditional control mechanisms such
as traffic signals and stop signs. The protocol, however, has
only been tested in simulation and has not been evaluated
with real autonomous vehicles. To realistically test the pro-
tocol, we implemented a mixed reality platform on which an
autonomous vehicle can interact with multiple virtual vehicles
in a simulation at a real intersection in real time. From this
platform we validated realistic parameters for our autonomous
vehicle to safely traverse an intersection in AIM. We present
several techniques to improve efficiency and show that the AIM
protocol can still outperform traffic signals and stop signs even
if the cars are not as precisely controllable as has been assumed

  

Source: Au, Tsz-Chiu - Department of Computer Sciences, University of Texas at Austin
Stone, Peter - Department of Computer Sciences, University of Texas at Austin

 

Collections: Computer Technologies and Information Sciences