In recent years, gradient-based LSTM recurrent neural networks (RNNs) solved many previously RNN-unlearnable tasks. Sometimes, however, gradient information is of little use for t...
Abstract This paper explores the impact that landmark parametrization has in the performance of monocular, EKFbased, 6-DOF simultaneous localization and mapping (SLAM) in the conte...
This paper describes a human machine interaction application for building panoramic views easily and efficiently. The panoramas are not limited to the 1D problem (one axis of rot...
— Smoothing and optimization approaches are an effective means for solving the simultaneous localization and mapping (SLAM) problem. Most of the existing techniques focus mainly ...
Gian Diego Tipaldi, Giorgio Grisetti, Wolfram Burg...
We describe a preliminary implementation of the high-level modelling language Zinc. This language supports a modelling methodology in which the same Zinc model can be automatically...