ARMSAINTS: An AR-based Real-time Mobile System for Assistive Indoor Navigation with Target Segmentation

Abstract

This paper proposes an AR-based real-time mobile system for assistive indoor navigation with target segmentation (ARMSAINTS) for both sighted and blind or low-vision (BLV) users to safely explore and navigate in an indoor environment. The solution comprises four major components: graph construction, hybrid modeling, real-time navigation and target segmentation. The system utilizes an automatic graph construction method to generate a graph from a 2D floorplan and the Delaunay triangulation-based localization method to provide precise localization with negligible error.

Year of Publication
2022
Conference Name
2022 IEEE International Conference on Advanced Robotics and Its Social Impacts (ARSO)
Date Published
05