NDLI: Bringing simulation to life: A mixed reality autonomous intersection

Content Provider	IEEE Xplore Digital Library
Author	Quinlan, M. Tsz-Chiu Au Zhu, J. Stiurca, N. Stone, P.
Copyright Year	2010
Description	Author affiliation: Department of Computer Science, The University of Texas at Austin, USA (Quinlan, M.; Tsz-Chiu Au; Zhu, J.; Stiurca, N.; Stone, P.)
Abstract	Fully autonomous vehicles are technologically feasible with the current generation of hardware, as demonstrated by recent robot car competitions. Dresner and Stone proposed a new intersection control protocol called Autonomous Intersection 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 protocol, 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 in previous studies.
Starting Page	6083
Ending Page	6088
File Size	1601990
Page Count	6
File Format	PDF
ISBN	9781424466740
ISSN	21530866
e-ISBN	9781424466764
DOI	10.1109/IROS.2010.5651993
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-18
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Acceleration Mobile robots Throughput Delay Driver circuits Trajectory
Content Type	Text
Resource Type	Article

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