Indoor positioning systems are usually designed for the inside of a building, and satellite navigation for the outside. People and machines do not respect that division: they move through doors, down ramps and between floors. The KAILOS technology lineage shows how positioning research moved from the first problem toward a harder one — continuity across the boundary.
An integrated indoor positioning stack (2014)
KAILOS was described in the 2014 IPIN literature as an integrated indoor-positioning technology stack: Wi-Fi fingerprinting, indoor maps, positioning algorithms and the tools needed to deploy them together.
Radio maps at scale
Fingerprint positioning depends on radio maps, and radio maps take effort to build and keep current. Later publications expanded the approach with crowdsourced radio-map construction, using measurements gathered during ordinary use.
Sensor fusion and pedestrian dead reckoning
Radio signals alone leave gaps. Research in the lineage added sensor fusion and pedestrian dead reckoning (PDR), which estimates movement from steps, step length and heading measured by a device’s motion sensors. Combining motion with radio observations keeps position estimates continuous between radio updates.
Indoor/outdoor detection and integrated navigation
Continuity requires knowing when the environment has changed. Work on indoor/outdoor detection and integrated navigation addressed how a system can recognize the transition and connect outdoor and indoor positioning into one navigation experience.
Learning-based positioning
More recent research applies machine learning to the same problem: deep learning on magnetic-field and Wi-Fi channel measurements for indoor localization, and learned inertial models that estimate movement from motion sensors alone. The full record is listed under Patents and publications.
Where KPT takes it next
KAILOS technology has evolved through research in Wi-Fi positioning, radio-map construction, sensor fusion, pedestrian dead reckoning and indoor-outdoor integrated navigation. KPT is extending that foundation into dedicated devices and AI positioning modules designed for real-world deployment: KTAG, KTAG Pro and the KAILOS Neural Engine.