Title :
An ellipsoidal calculus based on propagation and fusion
Author :
Ros, Lluis ; Sabater, Assumpta ; Thomas, Federico
Author_Institution :
Ind. Robotics Inst. (CSIC-UPC), Barcelona, Spain
fDate :
8/1/2002 12:00:00 AM
Abstract :
Presents an ellipsoidal calculus based solely on two basic operations: propagation and fusion. Propagation refers to the problem of obtaining an ellipsoid that must satisfy an affine relation with another ellipsoid, and fusion to that of computing the ellipsoid that tightly bounds the intersection of two given ellipsoids. These two operations supersede the Minkowski sum and difference, affine transformation and intersection tight bounding of ellipsoids on which other ellipsoidal calculi are based. Actually, a Minkowski operation can be seen as a fusion followed by a propagation and an affine transformation as a particular case of propagation. Moreover, the presented formulation is numerically stable in the sense that it is immune to degeneracies of the involved ellipsoids and/or affine relations. Examples arising when manipulating uncertain geometric information in the context of the spatial interpretation of line drawings are extensively used as a testbed for the presented calculus
Keywords :
calculus; computational geometry; mathematical operators; set theory; spatial reasoning; uncertainty handling; Minkowski difference; Minkowski operations; Minkowski sum; affine relation; affine transformation; degeneracies; ellipsoid intersection; ellipsoidal bounds; ellipsoidal calculus; fusion operation; intersection tight bounding; line drawings; numerical stability; parameter estimation; propagation operation; set membership uncertainty description; spatial interpretation; uncertain geometric information manipulation; Calculus; Covariance matrix; Ellipsoids; Gaussian noise; Parameter estimation; Probability density function; Service robots; Shape; Testing; Uncertainty;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMCB.2002.1018763