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20152022
most citedGeneralized optimal sub-pattern assignment metric

297 citations · 1.6k across the 43 of their papers we have counts for

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Showing 2018Show all

7 papers · 1 filter

eess.SP2018

Poisson multi-Bernoulli mixture trackers: continuity through random finite sets of trajectories

Karl Granström, Lennart Svensson, Yuxuan Xia +2

The Poisson multi-Bernoulli mixture (PMBM) is an unlabelled multi-target distribution for which the prediction and update are closed. It has a Poisson birth process, and new Bernou…

eess.SP2018★ 10 cited

An Implementation of the Poisson Multi-Bernoulli Mixture Trajectory Filter via Dual Decomposition

Yuxuan Xia, Karl Granström, Lennart Svensson +1

This paper proposes an efficient implementation of the Poisson multi-Bernoulli mixture (PMBM) trajectory filter. The proposed implementation performs track-oriented N-scan pruning…

stat.ML2018★ 57 cited

Poisson Multi-Bernoulli Mapping Using Gibbs Sampling

Maryam Fatemi, Karl Granström, Lennart Svensson +2

This paper addresses the mapping problem. Using a conjugate prior form, we derive the exact theoretical batch multi-object posterior density of the map given a set of measurements.…

cs.CV2018★ 98 cited

Trajectory PHD and CPHD filters

Ángel F. García-Fernández, Lennart Svensson

This paper presents the probability hypothesis density filter (PHD) and the cardinality PHD (CPHD) filter for sets of trajectories, which are referred to as the trajectory PHD (TPH…

eess.SP2018★ 6 cited

Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation

Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson +1

New communication standards need to deal with machine-to-machine communications, in which users may start or stop transmitting at any time in an asynchronous manner. Thus, the numb…

cs.CV2018★ 3 cited

LIDAR-Camera Fusion for Road Detection Using Fully Convolutional Neural Networks

Luca Caltagirone, Mauro Bellone, Lennart Svensson +1

In this work, a deep learning approach has been developed to carry out road detection by fusing LIDAR point clouds and camera images. An unstructured and sparse point cloud is firs…

eess.SP2018★ 4 cited

Poisson Multi-Bernoulli Approximations for Multiple Extended Object Filtering

Yuxuan Xia, Karl Granström, Lennart Svensson +3

The Poisson multi-Bernoulli mixture (PMBM) is a multi-object conjugate prior for the closed-form Bayes random finite sets filter. The extended object PMBM filter provides a closed-…