no code implementations • 4 Mar 2023 • Uwe D. Hanebeck
In each sub-step, optimal resampling is done by a map that replaces non-equally weighted particles with equally weighted ones.
no code implementations • 9 Jun 2021 • Daniel Frisch, Uwe D. Hanebeck
We consider estimating the parameters of a Gaussian mixture density with a given number of components best representing a given set of weighted samples.
no code implementations • 25 Dec 2020 • Gerhard Kurz, Florian Faion, Florian Pfaff, Antonio Zea, Uwe D. Hanebeck
We propose a new recursive method for simultaneous estimation of both the pose and the shape of a three-dimensional extended object.
2 code implementations • 25 Oct 2020 • Kailai Li, Meng Li, Uwe D. Hanebeck
LiLi-OM (Livox LiDAR-inertial odometry and mapping) is real-time capable and achieves superior accuracy over state-of-the-art systems for both LiDAR types on public data sets of mechanical LiDARs and in experiments using the Livox Horizon.
Robotics
no code implementations • 28 Dec 2017 • Gerhard Kurz, Igor Gilitschenski, Florian Pfaff, Lukas Drude, Uwe D. Hanebeck, Reinhold Haeb-Umbach, Roland Y. Siegwart
In this paper, we present libDirectional, a MATLAB library for directional statistics and directional estimation.
no code implementations • 20 Mar 2012 • Marc Peter Deisenroth, Ryan Turner, Marco F. Huber, Uwe D. Hanebeck, Carl Edward Rasmussen
We propose a principled algorithm for robust Bayesian filtering and smoothing in nonlinear stochastic dynamic systems when both the transition function and the measurement function are described by non-parametric Gaussian process (GP) models.