Visual Place Recognition (VPR) is vital for robot localization. To date,...
Large language models (LLMs) have demonstrated impressive results in
dev...
Can knowing where you are assist in perceiving objects in your surroundi...
Most 6-DoF localization and SLAM systems use static landmarks but ignore...
This paper addresses learning end-to-end models for time series data tha...
Detecting objects under adverse weather and lighting conditions is cruci...
6-DoF visual localization systems utilize principled approaches rooted i...
Self-supervised deep learning methods for joint depth and ego-motion
est...
Road segmentation in challenging domains, such as night, snow or rain, i...
Sparse local feature matching is pivotal for many computer vision and
ro...
Visual Place Recognition (VPR) is a crucial component of 6-DoF localizat...
We explore the zero-shot setting for day-night domain adaptation. The
tr...
Visual Place Recognition (VPR) approaches have typically attempted to ma...
Place Recognition is a crucial capability for mobile robot localization ...
The use of local detectors and descriptors in typical computer vision
pi...
Visual Place Recognition (VPR) is the task of matching current visual im...
For robots to navigate and interact more richly with the world around th...
Significant advances have been made recently in Visual Place Recognition...
In this paper, we look into the problem of estimating per-pixel depth ma...
Visual place recognition is challenging because there are so many factor...
Visual place recognition algorithms trade off three key characteristics:...
Visual place recognition (VPR) - the act of recognizing a familiar visua...
Human visual scene understanding is so remarkable that we are able to
re...
Visually recognising a traversed route - regardless of whether seen duri...
When a human drives a car along a road for the first time, they later
re...
This paper looks into the problem of pedestrian tracking using a monocul...