17 citations · 34 across the 2 of their papers we have counts for
5 papers
Advancing Mixture Models for Least Squares Optimization
Tim Pfeifer, Sven Lange, Peter Protzel
Gaussian mixtures are a powerful and widely used tool to model non-Gaussian estimation problems. They are able to describe measurement errors that follow arbitrary distributions an…
Factor Graph based 3D Multi-Object Tracking in Point Clouds
Johannes Pöschmann, Tim Pfeifer, Peter Protzel
Accurate and reliable tracking of multiple moving objects in 3D space is an essential component of urban scene understanding. This is a challenging task because it requires the ass…
It is time for Factor Graph Optimization for GNSS/INS Integration: Comparison between FGO and EKF
Weisong Wen, Tim Pfeifer, Xiwei Bai +1
The recently proposed factor graph optimization (FGO) is adopted to integrate GNSS/INS attracted lots of attention and improved the performance over the existing EKF-based GNSS/INS…
Incrementally Learned Mixture Models for GNSS Localization
Tim Pfeifer, Peter Protzel
GNSS localization is an important part of today's autonomous systems, although it suffers from non-Gaussian errors caused by non-line-of-sight effects. Recent methods are able to m…
Expectation-Maximization for Adaptive Mixture Models in Graph Optimization
Tim Pfeifer, Peter Protzel
Non-Gaussian and multimodal distributions are an important part of many recent robust sensor fusion algorithms. In difference to robust cost functions, they are probabilistically f…