5 papers
On Mutual Information Neural Estimation for Localization
Sven Hinderer, Manuel Buchfink, Bin Yang
Mutual information (MI) is a promising candidate measure for the assessment and optimization of localization systems, as it captures nonlinear dependencies between random variables…
Hybrid Baseband Simulation for Single-Channel Radar-Based Indoor Localization System
Sven Hinderer, Zheming Yin, Athanasios Papanikolaou +2
Indoor localization with chirp sequence radar at millimeter wavelength offers high localization accuracy at low system cost. We propose a hybrid radar baseband signal simulator for…
Investigation of ArUco Marker Placement for Planar Indoor Localization
Sven Hinderer, Martina Scheffler, Bin Yang
Indoor localization of autonomous mobile robots (AMRs) can be realized with fiducial markers. Such systems require only a simple, monocular camera as sensor and fiducial markers as…
Indoor Positioning Based on Active Radar Sensing and Passive Reflectors: Reflector Placement Optimization
Sven Hinderer, Pascal Schlachter, Zhibin Yu +2
We extend our work on a novel indoor positioning system (IPS) for autonomous mobile robots (AMRs) based on radar sensing of local, passive radar reflectors. Through the combination…
Blind Source Separation of Radar Signals in Time Domain Using Deep Learning
Sven Hinderer
Identification and further analysis of radar emitters in a contested environment requires detection and separation of incoming signals. If they arrive from the same direction and a…