We propose a direct (feature-less) monocular SLAM algorithm which, in contrast to current
state-of-the-art regarding direct methods, allows to build large-scale, consistent maps of the …

Visual localization enables autonomous vehicles to navigate in their surroundings and
augmented reality applications to link virtual to real worlds. Practical visual localization …

After the incredible success of deep learning in the computer vision domain, there has been
much interest in applying Convolutional Network (ConvNet) features in robotic fields such as …

Augmented reality (AR) is a technique that allows to seamlessly composite virtual objects or
information into real scene. Compared to traditional text, images and videos, AR is a more …

Place recognition has long been an incompletely solved problem in that all approaches
involve significant compromises. Current methods address many but never all of the critical …

Extensive research in the field of monocular SLAM for the past fifteen years has yielded
workable systems that found their way into various applications in robotics and augmented …

Topological maps model the environment as a graph, where nodes are distinctive places of
the environment and edges indicate topological relationships between them. They represent …

Localization is an integral part of reliable robot navigation, and long-term autonomy requires
robustness against perceptional changes in the environment during localization. In the …

Image-based localization is an important problem in robotics and an integral part of visual
map** and navigation systems. An approach to robustly match images to previously …