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KPT — Korea Positioning Technology
KPT — Korea Positioning Technology
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POSITIONING CONTINUITY

A better position comes from understanding more than one signal.

KPT combines radio signals, motion sensors, environmental sensing, positioning algorithms and AI to maintain location awareness across outdoor, transitional and indoor environments.

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THE PROBLEM

Why positioning breaks

GNSS is a powerful global reference, but indoor spaces, underground areas, dense structures and signal-obstructed environments can reduce the usefulness of satellite positioning alone. Indoor systems face the opposite challenge: many technologies work well inside a configured environment but do not naturally continue outdoors.

KPT’s approach is to treat positioning as a continuum rather than separate indoor and outdoor systems.

OutdoorTransitionIndoor
  • Satellite positioning aloneStrong global reference under open sky
  • Indoor-only systemsWork inside a configured environment
  • KPT positioning continuumOne location picture across the boundary
Satellite positioning weakens where structures begin; indoor systems rarely continue outside. KPT treats positioning as one continuum.

ARCHITECTURE

The KPT positioning stack

Six layers turn raw signals into location information that applications can use — from positioning inputs at the edge to the applications that act on location.

  1. 01POSITIONING INPUTS

    • GNSS
    • RTK GNSS
    • Wi-Fi
    • Bluetooth
    • IMU
    • Magnetometer
    • Pressure

  2. 02EDGE INTELLIGENCE

    • Signal Processing
    • Motion Detection
    • PDR
    • AI Inference

  3. 03SENSOR FUSION

    • Environment Detection
    • Trajectory Estimation
    • Map Constraints

  4. 04POSITIONING ENGINE

    • Outdoor
    • Transition
    • Indoor
    • Multi-floor

  5. 05LOCATION INTELLIGENCE

    • Current Position
    • Trajectory
    • Zones
    • Events
    • APIs

  6. 06APPLICATIONS

    • Safety
    • Emergency
    • Healthcare
    • Defense
    • Robotics

HYBRID SENSOR FUSION

Hybrid sensor fusion

Every sensing modality has strengths and weaknesses. Satellite signals provide a global outdoor reference. Wi-Fi and Bluetooth provide useful radio information in buildings. Accelerometers and gyroscopes describe movement. Magnetic sensing can contribute heading and environmental information. Pressure sensing can help estimate vertical movement.

KPT positioning systems combine available information rather than relying on one measurement alone.

Read about sensor fusion
  • GNSSGlobal outdoor reference
  • Wi-Fi / BluetoothRadio information in buildings
  • Accelerometer / gyroscopeMovement
  • MagnetometerHeading and environment
  • PressureVertical movement

Sensor fusion

One continuous position estimate

Each source contributes what it measures well; fusion combines the available information instead of relying on one measurement alone.

AI INERTIAL POSITIONING

AI inertial positioning

Inertial sensors are always moving with the device. The challenge is converting noisy motion measurements into useful trajectory information while managing accumulated error. KPT’s AI inertial technology is designed to extract motion intelligence at the edge for pedestrian, drone and robotic positioning applications.

Explore KAILOS Neural Engine

Accelerometer

Gyroscope

Real-time inference

  • Trajectory estimation

  • Motion detection

Acceleration and rotation measurements are interpreted over time with real-time inference and sensor fusion to estimate trajectories and recognize movement.

KAILOS POSITIONING PLATFORM

Indoor positioning with KAILOS

KAILOS combines hybrid positioning with indoor maps and radio maps. Its technology lineage includes Wi-Fi fingerprinting, sensor fusion, crowdsourced radio-map construction, map tools and APIs for location-aware applications.

Explore KAILOS
  • Wi-Fi access points
  • Radio-map fingerprints
  • Device motion (steps)
  • Position estimate
KAILOS combines Wi-Fi and Bluetooth observations, a radio map, device motion and the indoor map to estimate position inside a building.

FROM RESEARCH TO DEPLOYMENT

From research to deployment

Our technology strategy is simple: move positioning intelligence closer to the device, connect it to cloud and platform services where appropriate, and expose location information so that real applications can use it.

  • 01

    Closer to the device

    Edge positioning on KTAG, KTAG Pro and the KAILOS Neural Engine

  • 02

    Connected where appropriate

    Cloud and platform services, including the KAILOS positioning platform

  • 03

    Exposed to applications

    Location information for safety systems, operators and machines

Explore the product familyRead the research

KEY TERMS

Positioning terms, briefly explained.

GNSS

Global Navigation Satellite Systems — the family of satellite constellations, including GPS, used for positioning outdoors.

RTK GNSS

Real-Time Kinematic positioning uses correction information to improve GNSS accuracy when suitable corrections and satellite conditions are available.

IMU

An inertial measurement unit combines accelerometers and gyroscopes (and sometimes a magnetometer) to measure motion and rotation.

Pedestrian dead reckoning (PDR)

Estimating a person’s movement from detected steps, step length and heading, starting from a known position.

Radio map

A map of the Wi-Fi or Bluetooth signal patterns observed at known indoor locations, used by fingerprint-based positioning.

Sensor fusion

Combining complementary measurements — for example radio, inertial and pressure data — into one position estimate.

Map matching

Constraining a position estimate to paths that are possible on a map, such as corridors and doorways.

Design a positioning system for your environment.

Talk to KPT about buildings, campuses, industrial sites, emergency operations, wearables or autonomous systems.

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