Simultaneous Localization and Mapping Definition | IoT ONE Digital Transformation Advisors

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	Simultaneous Localization and Mapping (SLAM)

Simultaneous Localization and Mapping (SLAM)

Formal	Simultaneous Localization and Mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agents location within it. Read More
Practical	A system originating from robotics and computer vision, SLAM is a procedure by which a computer scans an environment and constructs a digital map of the area. This has become a standard for anchoring augmented reality content in real world, physical spaces. This is the process Apple ARKit apps undertake to detect surfaces. Read More
Contents

Formal

Simultaneous Localization and Mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agents location within it.

Practical

A system originating from robotics and computer vision, SLAM is a procedure by which a computer scans an environment and constructs a digital map of the area. This has become a standard for anchoring augmented reality content in real world, physical spaces. This is the process Apple ARKit apps undertake to detect surfaces.

Overview

Simultaneous Localization and Mapping (SLAM)