GIScience for a driverless age

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

A driverless or autonomous vehicle requires significant support from information technology, both from central databases and from local sensors. The requirements for route guidance are in many ways more demanding than those of current guidance technologies, especially in the ‘last mile’ of a route. Significant extensions are needed for both street-centerline and point-of-interest databases. How these should be captured and structured present significant research challenges for GIScience. The societal and longer term impacts of such extensions are perhaps even more in need of focused research by the GIScience community.

Original languageEnglish (US)
Pages (from-to)849-855
Number of pages7
JournalInternational Journal of Geographical Information Science
Volume32
Issue number5
DOIs
StatePublished - May 4 2018
Externally publishedYes

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Keywords

  • autonomous vehicles
  • driverless vehicles
  • field robotics
  • GIScience
  • route guidance

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development
  • Library and Information Sciences

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