4 papers
Bridging the Indoor-Outdoor Gap: Cross-Technology Ranging for Seamless Robot Navigation
Paul Schwarzbach
Mobile robots that move between outdoor and indoor environments still struggle with consistent positioning. Satellite-based and terrestrial ranging each work well in their home dom…
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…
Evaluation of Grid-based Uncertainty Propagation for Collaborative Self-Calibration in Indoor Positioning Systems
Paul Schwarzbach, Andrea Jung
Radio-based localization systems conventionally require stationary reference points (e.g. anchors) with precisely surveyed positions, making deployment time-consuming and costly. T…
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…