
Comparison of three least-squares methods for fusion of data from radar and depth sensors applied for persons’ monitoring
Author(s) -
Paweł Mazurek,
Andrzej Miękina,
Roman Z. Morawski
Publication year - 2018
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1065/13/132001
Subject(s) - sensor fusion , radar , least squares function approximation , non linear least squares , partial least squares regression , total least squares , computer science , impulse (physics) , recursive least squares filter , ordinary least squares , statistics , artificial intelligence , mathematics , algorithm , explained sum of squares , telecommunications , physics , quantum mechanics , estimator , singular value decomposition , adaptive filter