Mobile SLAM Technology: Self-Learning

Indoor Location Positioning

Indoor location positioning has grown from an obscure area of research three years ago to a major focus area today for both major companies and start-up companies. It is also a growing area for mergers & acquisitions. Grizzly Analytics has analyzed indoor location R&D carried out by over 170 companies.

With all of the ongoing R&D in this area, several big challenges remain, two of which we focus on here. One is whether indoor location positioning can work in a universal fashion, working anywhere, in any site, without any preparation or infrastructure installed by the site. Another, for sites wishing to customize indoor location positioning for their site, is whether the significant set-up effort can be reduced.

These two challenges are being addressed using a technology called SLAM, or Simultaneous Localization and Mapping. SLAM, in a nutshell, estimates indoor location while moving around a new site, at the same time as it learns data about the site that enables better location positioning in the future, thereby learning the site.

Which smartphone maker has the most developed SLAM technology? Which chip maker is closest to embedding SLAM in device hardware? Which start-ups have the most advanced universally-applicable SLAM? This report puts the answers to these questions and more at your fingertips.

Published: November 4, 2014
Price: $250

Table of contents
Executive Summary
Summary Table of Companies and Technologies
Indoor Location Positioning: Current State and Trends
Indoor Location Positioning Methods and Their Tradeoffs
Introduction to Simultaneous Localization and Mapping (SLAM)
Variations in Mobile SLAM Research
Mobile SLAM from Major Tech Vendors
  (Analysis of SLAM technology from four major companies)
Mobile SLAM Technology from Early Stage Companies
  (Analysis of SLAM technology from seven start-up companies)
Future Trends in Indoor Location