activity
20132023
most citedA second-order PHD filter with mean and variance in target number

48 citations · 105 across the 12 of their papers we have counts for

collaborators

13 papers

math.NA2023★ 8 cited

A Multifidelity Approach to Robust Orbit Determination

Alberto Fossà, Roberto Armellin, Emmanuel Delande +2

This paper presents an algorithm for the preprocessing of observation data aimed at improving the robustness of orbit determination tools. Two objectives are fulfilled: obtain a re…

eess.SP2022

Decentralised possibilistic inference with applications to target tracking

Jeremie Houssineau, Han Cai, Murat Uney +1

Fusing and sharing information from multiple sensors over a network is a challenging task, partly due to the absence of a foundational rule for fusing probability distributions tha…

math.NA2022★ 1 cited

Multifidelity Orbit Uncertainty Propagation using Taylor Polynomials

Alberto Fossà, Roberto Armellin, Emmanuel Delande +2

A new multifidelity method is developed for nonlinear orbit uncertainty propagation. This approach guarantees improved computational efficiency and limited accuracy losses compared…

math.ST2019★ 3 cited

Elements of asymptotic theory with outer probability measures

Jeremie Houssineau, Neil K. Chada, Emmanuel Delande

Outer measures can be used for statistical inference in place of probability measures to bring flexibility in terms of model specification. The corresponding statistical procedures…

stat.AP2018★ 18 cited

Physics and Human-Based Information Fusion for Improved Resident Space Object Tracking

Emmanuel Delande, Jeremie Houssineau, Moriba Jah

Maintaining a catalog of Resident Space Objects (RSOs) can be cast in a typical Bayesian multi-object estimation problem, where the various sources of uncertainty in the problem -…

eess.SP2018

Fusion of finite set distributions: Pointwise consistency and global cardinality

Murat Üney, Jérémie Houssineau, Emmanuel Delande +2

A recent trend in distributed multi-sensor fusion is to use random finite set filters at the sensor nodes and fuse the filtered distributions algorithmically using their exponentia…