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 …

Abstract Visual Place Recognition is a challenging task for robotics and autonomous
systems, which must deal with the twin problems of appearance and viewpoint change in an …

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 …

Simultaneous localization and mapping (SLAM) consists in the concurrent construction of a
model of the environment (the map), and the estimation of the state of the robot moving …

The success of deep learning techniques in the computer vision domain has triggered a
range of initial investigations into their utility for visual place recognition, all using generic …

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 …

Autonomous systems will play an essential role in many applications across diverse
domains including space, marine, air, field, road, and service robotics. They will assist us in …

In a world that requires sustainable agricultural practices, quantitative plant-by-plant and
field status monitoring can be advantageous to all farmers by optimizing their farm …