Localization is an essential capability for mobile robots. A rapidly growing field of research in
this area is Visual Place Recognition (VPR), which is the ability to recognize previously seen …

Where am I? This is one of the most critical questions that any intelligent system should
answer to decide whether it navigates to a previously visited area. This problem has long …

Visual place recognition is a challenging problem due to the vast range of ways in which the
appearance of real-world places can vary. In recent years, improvements in visual sensing …

Localization and mapping is the foundational technology for augmented reality (AR) that
enables sharing and persistence of digital content in the real world. While significant …

This paper documents a large scale, long-term autonomy dataset for robotics research
collected on the University of Michigan's North Campus. The dataset consists of …

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 …

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 …

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 …

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

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 …