Abstract Visual Place Recognition (VPR) estimates the location of query images by matching
them with images in a reference database. Conventional methods generally adopt …

Worldwide Geo-localization aims to pinpoint the precise location of images taken anywhere
on Earth. This task has considerable challenges due to the immense variation in geographic …

Image retrieval-based cross-view localization methods often lead to very coarse camera
pose estimation, due to the limited sampling density of the database satellite images. In this …

In this paper, we introduce a novel approach to fine-grained cross-view geo-localization. Our
method aligns a warped ground image with a corresponding GPS-tagged satellite image …

Navigating drones through natural language commands remains challenging due to the
dearth of accessible multi-modal datasets and the stringent precision requirements for …

Abstract Cross-View Geo-Localisation is still a challenging task where additional modules,
specific pre-processing or zooming strategies are necessary to determine accurate positions …

This work addresses visual cross-view metric localization for outdoor robotics. Given a
ground-level color image and a satellite patch that contains the local surroundings, the task …

This paper proposes a novel method for vision-based metric cross-view geolocalization
(CVGL) that matches the camera images captured from a ground-based vehicle with an …

Like numerous new websites created globally every day on the web, new spaces are
constantly produced in the metaverse and interconnected to each other through the Internet …

This work addresses cross-view camera pose estimation, ie, determining the 3-Degrees-of-
Freedom camera pose of a given ground-level image wrt an aerial image of the local area …