We give a universal analytical solution to the hand-eye calibration problem AX= XB with
known matrices A and B and unknown variable X, all in the set of special Euclidean group …

There exist uncertain data in the real world due to some factors such as imprecise
measurements and noise. Unlike deterministic data, the features of samples in uncertain …

Autonomous navigation of unmanned vehicles in forests is a challenging task. In such
environments, due to the canopies of the trees, information from Global Navigation Satellite …

Many applications in biomedical informatics deal with data in the tensor form. Traditional
regression methods which take vectors as covariates may encounter difficulties in handling …

Target registration error (TRE) is widely adopted to evaluate the accuracy of a paired-point
rigid registration (PPRR). However, TRE is defined in such a way that target localization …

This paper proposes a novel filter for sensor-based bearing-only simultaneous localization
and mapping in three dimensions with globally exponentially stable (GES) error dynamics. A …

This paper addresses the problem of simultaneous localization, mapping, and moving object
tracking (SLAMMOT) with application to unmanned aerial vehicles inside uncertain …

Spectral-based subspace learning is a common data preprocessing step in many machine
learning pipelines. The main aim is to learn a meaningful low dimensional embedding of the …

Correcting spatial orientations of groups of high-dimensional data sets such that they are all
in a consistent coordinate system is often a time-consuming and error-prone process …

Autonomous navigation of unnamed vehicles in a forest is a challenging task. In such
environments, due to the canopies of the trees, GNSS-based navigation can be degraded or …