The core innovations of this algorithm include (1) an integrated backward elimination process to correct earlier misidentified groups; (2) a versatile convex smooth model that generalizes previous research; (3) the strategic use of gradient information to expedite the group selection phase; and (4)...
The core innovations of this algorithm include (1) an integrated backward elimination process to correct earlier misidentified groups; (2) a versatile convex smooth model that generalizes previous research; (3) the strategic use of gradient information to expedite the group selection phase; and (4)...
More importantly, the proposed interval algorithm is approved to be convenient to fuse additional location-related information. Keywords: trajectory recovery; interval analysis; forward-backward propagation; map constraint; multi-source information fusion 1. Introduction With the development of positioning ...