3 papers
cs.CV2020
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…
cs.RO2019
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…
cs.RO2018
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…