48 citations · 52 across the 3 of their papers we have counts for
3 papers
Data-Driven Approaches for Modelling Target Behaviour
Isabel Schlangen, André Brandenburger, Mengwei Sun +1
The performance of tracking algorithms strongly depends on the chosen model assumptions regarding the target dynamics. If there is a strong mismatch between the chosen model and th…
Single-cluster PHD filter methods for joint multi-object filtering and parameter estimation
Isabel Schlangen, Daniel E. Clark, Emmanuel D. Delande
Many multi-object estimation problems require additional estimation of model or sensor parameters that are either common to all objects or related to unknown characterisation of on…
A second-order PHD filter with mean and variance in target number
Isabel Schlangen, Emmanuel D. Delande, Jeremie Houssineau +1
The Probability Hypothesis Density (PHD) and Cardinalized PHD (CPHD) filters are popular solutions to the multi-target tracking problem due to their low complexity and ability to e…