Simultaneous Localization and Mapping (SLAM)

Meta Trend	Spatial and Temporal Models
Title	Simultaneous Localization and Mapping (SLAM)
Description	SLAM is a computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of progress within this unknown environment. Examples of approaches are self-driving cars, unmanned aerial vehicles, autonomous underwater vehicles, planetary rovers, newly emerging domestic robots and even inside the human body - (DSTL).
What is new or emerging?
Why might it matter?
Horizon	Next:
Impact	Disruptive:
Gartner Hype Curve phase
Technology Readiness Level	TRL3
Discussion Issue	Discussion of Trend on GitHub
References
Examples	URL to technology implementation examples
Geospatial Tech Category
OGC Working Groups

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