3 papers
eess.SP2025
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…
eess.SP2025
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…
eess.IV2025
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…