6 papers
Descriptor: A Hybrid Indoor and Indoor-Outdoor Positioning Multi-Technology Dataset (HYMN)
Muhammad Ammad, Albrecht Michler, Paul Schwarzbach +3
This article introduces the HYMN (HYbrid Multi-technology Navigation) dataset: a multi-system, and time synchronized dataset for localization research based on opportunistic signal…
Dirichlet Extremals for Discrete Plateau Problems in GT-Bezier Spaces via PSO
Muhammad Ammad, Md Yushalify Misro, Samia Bibi +1
We study a discrete analogue of the parametric Plateau problem in a non-polynomial tensor-product surface spaces generated by the generalized trigonometric (GT)--Bézier basis. Bou…
An Adaptive Lagrangian B-Spline Framework for Point Cloud Manifold Evolution
Muhammad Ammad, Leevan Ling
We extend our recent curve-evolution framework based on localized B-spline interpolation to present an adaptive Lagrangian framework for the geometric evolution of point-cloud data…
B-spline-Based ALE-MFS Framework for Evolving Domains
Muhammad Ammad, Leevan Ling, Shu Ma
We develop and analyze a B-spline based arbitrary Lagrangian-Eulerian method of fundamental solutions (ALE-MFS) for curvature-driven motion of two-dimensional evolving domains. Bou…
Efficient manifold evolution algorithm using adaptive B-Spline interpolation
Muhammad Ammad, Leevan Ling
This paper explores an efficient Lagrangian approach for evolving point cloud data on smooth manifolds. In this preliminary study, we focus on analyzing plane curves, and our ultim…
Range-Angle Likelihood Maps for Indoor Positioning Using Deep Neural Networks
Muhammad Ammad, Paul Schwarzbach, Michael Schultz +1
Accurate and high precision of the indoor positioning is as important as ensuring reliable navigation in outdoor environments. Using the state-of-the-art deep learning models provi…