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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao IEEE Pervasive Compu...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
IEEE Pervasive Computing
Article . 2016 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
DBLP
Article . 2016
Data sources: DBLP
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Smart Vehicle Spaces [Guest Editorial]

Authors: K. Venkatesh Prasad; Steve Hodges 0001; Brian Noble;

Smart Vehicle Spaces [Guest Editorial]

Abstract

During the past few decades, cars have transformed from being relatively mundane spaces underpinned by mechanical platforms with sprinklings of electronics into complex computational platforms. As a result of this continual development and the smart spaces it has enabled, we are now seeing the signs of tectonic shifts in car-related experiences, ranging from ride services to autonomous vehicles. These are underpinned by the key elements of intelligent systems--sensing, actuation, computation, and communication resources--which are now routinely built-in to cars, along with additional resources brought in via mobile devices and beamed-in from the cloud. This special issue offers an insight into what we can expect from smart vehicle spaces and the technology that enables them.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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