Return
GIScience for a driverless age
DOI:10.1080/13658816.2018.1440397.png)
Abstract
En 中文
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.
Keywords:
GIScience
route guidance
driverless vehicles
autonomous vehicles
field robotics
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
5.1
Papers:
2.7K
Citations:
9.3K

