NEON Navigation Engine: Sensor Fusion and Dynamic Mapping

The TRX NEON Navigation Engine uses sensor fusion, ranging, and inferred and known mapping to deliver accurate location and mapping within buildings and other structures without access to reliable GPS.

Embedded software fuses information from all available sensors - including accelerometer, gyroscope, altimeter, magnetic, ranging, and GPS – to deliver a preliminary location estimate. Because sensors are prone to error from indoor magnetic environments, drift, and weather, the Navigation Engine continually analyzes and assesses all sensor data for quality and consistency. Poorly functioning or degraded sensors are isolated and de-emphasized or eliminated in the navigation solution.

Ranging information (e.g., from known beacons, WiFi, or GPS), if available, is used to constrain location results. In addition to ranging to known beacons, the NEON algorithms support ranging between people operating close together (for example, two people walking side by side can share their locations to enhance accuracy).

Received sensor information is then used to infer site maps, including building features and signatures (structural features such as stairwells and elevators, and magnetic as well as RF signatures). This information is mapped dynamically as people move about an area or building. Information from multiple people moving about in the same building is merged to deliver crowd-sourced enhancements to inferred maps, delivering accurate features maps that enhance location estimates.

Given known maps, feature or floor plan information, accuracy will be further increased as NEON will match location estimates and inferred maps and features to known building maps and features.

The unique and patented NEON Navigation Engine, along with APIs for integrating with third party platforms and applications, delivers both mapping and improved location indoors and in other environments without reliable GPS.