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Using inertial sensors for position and orientation estimation
Bayesian pose graph optimization via bingham distributions and tempered geodesic mcmc
Abstract We introduce Tempered Geodesic Markov Chain Monte Carlo (TG-MCMC)
algorithm for initializing pose graph optimization problems, arising in various scenarios such …
algorithm for initializing pose graph optimization problems, arising in various scenarios such …
Probabilistic pose estimation using a bingham distribution-based linear filter
Pose estimation is central to several robotics applications such as registration, hand–eye
calibration, and simultaneous localization and map** (SLAM). Online pose estimation …
calibration, and simultaneous localization and map** (SLAM). Online pose estimation …
[PDF][PDF] Recursive Bingham filter for directional estimation involving 180 degree symmetry
Tracking cars, ships, or airplanes may involve estimation of their current orientation or
heading. Furthermore, many applications in the area of robotics or augmented reality …
heading. Furthermore, many applications in the area of robotics or augmented reality …
A new probability distribution for simultaneous representation of uncertain position and orientation
This work proposes a novel way to represent uncertainty on the Lie group of rigid-body
motions in the plane. This is achieved by using dual quaternions for representation of a …
motions in the plane. This is achieved by using dual quaternions for representation of a …