A Method to Incorporate Floor Plan Constraints into Indoor Location Tracking: A Voronoi Approach

Abstract EN

Indoor localization has attracted a lot of research effort in recent years due to the explosion of indoor location-based service (LBS) applications.

Incorporating map constraints into localization algorithms reduces the uncertainty of walking trajectories and enhances location accuracy.

Suitable maps for computer-aided localization algorithms are not readily available, and hence most researchers working on localization solutions manually create maps for their specific localization scenarios.

This paper presents a method of generating indoor maps suitable for localization algorithms from CAD floor plans.

Our solution is scalable for mass-market LBS deployment.

We also propose an adapted map-filtering algorithm that utilizes map information extracted from CAD floor plans.

We evaluate the performance of our solution via real-world Wi-Fi RF measurements.