297 citations · 1.6k across the 43 of their papers we have counts for
7 papers · 1 filter
Bayesian Linear Regression on Deep Representations
John Moberg, Lennart Svensson, Juliano Pinto +1
A simple approach to obtaining uncertainty-aware neural networks for regression is to do Bayesian linear regression (BLR) on the representation from the last hidden layer. Recent w…
Poisson Multi-Bernoulli Mixtures for Sets of Trajectories
Karl Granström, Lennart Svensson, Yuxuan Xia +2
The Poisson Multi-Bernoulli Mixture (PMBM) density is a conjugate multi-target density for the standard point target model with Poisson point process birth. This means that both th…
Multi-Scan Implementation of the Trajectory Poisson Multi-Bernoulli Mixture Filter
Yuxuan Xia, Karl Granström, Lennart Svensson +2
The Poisson multi-Bernoulli mixture (PMBM) and the multi-Bernoulli mixture (MBM) are two multi-target distributions for which closed-form filtering recursions exist. The PMBM has a…
Lidar-Camera Co-Training for Semi-Supervised Road Detection
Luca Caltagirone, Lennart Svensson, Mattias Wahde +1
Recent advances in the field of machine learning and computer vision have enabled the development of fast and accurate road detectors. Commonly such systems are trained within a su…
Extended target Poisson multi-Bernoulli mixture trackers based on sets of trajectories
Yuxuan Xia, Karl Granström, Lennart Svensson +2
The Poisson multi-Bernoulli mixture (PMBM) is a multi-target distribution for which the prediction and update are closed. By applying the random finite set (RFS) framework to multi…
Gaussian implementation of the multi-Bernoulli mixture filter
Ángel F. García-Fernández, Yuxuan Xia, Karl Granström +2
This paper presents the Gaussian implementation of the multi-Bernoulli mixture (MBM) filter. The MBM filter provides the filtering (multi-target) density for the standard dynamic a…
Spooky effect in optimal OSPA estimation and how GOSPA solves it
Ángel F. García-Fernández, Lennart Svensson
In this paper, we show the spooky effect at a distance that arises in optimal estimation of multiple targets with the optimal sub-pattern assignment (OSPA) metric. This effect refe…