223 citations · 591 across the 9 of their papers we have counts for
9 papers
Continuous Herded Gibbs Sampling
Laura M. Wolf, Marcus Baum
Herding is a technique to sequentially generate deterministic samples from a probability distribution. In this work, we propose a continuous herded Gibbs sampler that combines kern…
Simulation-based Analysis of Multipath Delay Distributions in Urban Canyons
Simon Ollander, Friedrich-Wilhelm Bode, Marcus Baum
Global navigation satellite systems provide accurate positioning nearly worldwide. However, in the urban canyons of dense cities, buildings block and reflect the signals, causing m…
A Hybrid Approach To Hierarchical Density-based Cluster Selection
Claudia Malzer, Marcus Baum
HDBSCAN is a density-based clustering algorithm that constructs a cluster hierarchy tree and then uses a specific stability measure to extract flat clusters from the tree. We show…
Optimal Fusion of Elliptic Extended Target Estimates based on the Wasserstein Distance
Kolja Thormann, Marcus Baum
This paper considers the fusion of multiple estimates of a spatially extended object, where the object extent is modeled as an ellipse parameterized by the orientation and semiaxes…
Tracking the Orientation and Axes Lengths of an Elliptical Extended Object
Shishan Yang, Marcus Baum
Extended object tracking considers the simultaneous estimation of the kinematic state and the shape parameters of a moving object based on a varying number of noisy detections. A m…
Extended Object Tracking: Introduction, Overview and Applications
Karl Granstrom, Marcus Baum, Stephan Reuter
This article provides an elaborate overview of current research in extended object tracking. We provide a clear definition of the extended object tracking problem and discuss its d…
Second-Order Extended Kalman Filter for Extended Object and Group Tracking
Shishan Yang, Marcus Baum
In this paper, we propose a novel method for estimating an elliptic shape approximation of a moving extended object that gives rise to multiple scattered measurements per frame. Fo…
Extended Object Tracking with Random Hypersurface Models
Marcus Baum, Uwe D. Hanebeck
The Random Hypersurface Model (RHM) is introduced that allows for estimating a shape approximation of an extended object in addition to its kinematic state. An RHM represents the s…
The Kernel-SME Filter for Multiple Target Tracking
Marcus Baum, Uwe D. Hanebeck
We present a novel method called Kernel-SME filter for tracking multiple targets when the association of the measurements to the targets is unknown. The method is a further develop…