NEON Sensor Fusion and Mapping Technology

Delivering accurate location for people moving about in GPS-denied areas – such as when indoors and underground – has not been realistic to date without the use of costly infrastructure or precision mapping of facilities.  Delivering seamless and ubiquitous indoor location is difficult, given that GPS is not available, compasses are highly inaccurate, floor plans may not be available, and relying upon accurately mapped infrastructure may not be a viable option.

The TRX NEON® solution implements sensor fusion and mapping to deliver accurate 2D and 3D navigation maps, enabling location where GPS is unavailable, without relying upon pre-installed or networked infrastructure. Core to the NEON Software is its FeatureSLAMTM mapping.  Through FeatureSLAM, building features are detected, located, and fused to form indoor navigation maps. Navigation maps consist of collections of geo-referenced features and are used to deliver critical location corrections. Without corrections, sensors that are inherently subject to inertial drift, magnetic interference, and other errors would provide severely degraded information and subsequently poor location accuracy over long durations. 

NEON Sensor Fusion and Dynamic Mapping for Location 

NEON implements a suite of patented sensor fusion and dynamic mapping algorithms, which intelligently correlate information from a broad range of sensors (magnetic, accelerometer, gyroscope, light, pressure, RF, etc.).

NEON Location Service v3 resized 600

TRX FeatureSLAM Mapping

NEON sensor fusion has been designed to specifically support pedestrian location applications.  The intelligence of sensor fusion portion of the NEON software lies in part in its ability to isolate and select the sparse areas in which a degraded sensor’s (e.g., compass, GPS) estimates are accurate, and eliminate the rest. This distinguishes NEON from filters and systems that severely drift away from the truth in the presence of erroneous sensor measurements

NEON uses received sensor information to infer site maps (including structural, magnetic, and RF features, and other landmarks) dynamically as people move about an area or building.  Information from multiple people moving about in the same building is merged to deliver crowdsourced geo-referenced feature maps, producing accurate navigation maps that enhance location estimates.  Ranging information (e.g., from known beacons), if available, can also be used to constrain location results. Such ranging Information includes ranging between people operating close together and between a person and a fixed RF node if infrastructure is available. User and third party constraints can also be accepted through the NEON API.

The TRX NEON products and services use technology covered by the following patents: USPTO 8,688,375, USPTO 8,706,414, USPTO 8,712,686, USPTO 8,751,151, USPTO 8,930,163, USPTO 8,930,163, USPTO 8,965,688, USPTO 8,990,014, Australia PTO 2007348326, Singapore PTO 148346, Singapore PTO 158730.