3 accepted papers
In this paper, we propose a collaborative centralized 3D mapping and localization framework that harnesses the capabilities of both SLAM (Simultaneous Localization And Mapping) and XR (eXtended Reality). On one hand, our framework allows for integrating local maps generated by a multitude of heterog
Simultaneous Localization and Mapping (SLAM) has emerged as a prime autonomous mobile agent localization algorithm. Despite the global research effort to improve SLAM, its mapping component remains limited and serves little more than to satisfy the coupled localization problem. We present a collabor…
This paper presents an integrated approach to Visual SLAM, merging online sequential photometric calibration within a Hybrid direct-indirect visual SLAM (H-SLAM). Photometric calibration helps normalize pixel intensity values under different lighting conditions, and thereby improves the direct compo…