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Multi-UAV collaborative absolute vision positioning and navigation: A survey and discussion
P Tong, X Yang, Y Yang, W Liu, P Wu - Drones, 2023 - mdpi.com
The employment of unmanned aerial vehicles (UAVs) has greatly facilitated the lives of
humans. Due to the mass manufacturing of consumer unmanned aerial vehicles and the …
humans. Due to the mass manufacturing of consumer unmanned aerial vehicles and the …
Orienternet: Visual localization in 2d public maps with neural matching
Humans can orient themselves in their 3D environments using simple 2D maps. Differently,
algorithms for visual localization mostly rely on complex 3D point clouds that are expensive …
algorithms for visual localization mostly rely on complex 3D point clouds that are expensive …
Geoclip: Clip-inspired alignment between locations and images for effective worldwide geo-localization
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 …
on Earth. This task has considerable challenges due to the immense variation in geographic …
Transgeo: Transformer is all you need for cross-view image geo-localization
The dominant CNN-based methods for cross-view image geo-localization rely on polar
transform and fail to model global correlation. We propose a pure transformer-based …
transform and fail to model global correlation. We propose a pure transformer-based …
Unleashing unlabeled data: A paradigm for cross-view geo-localization
This paper investigates the effective utilization of unlabeled data for large-area cross-view
geo-localization (CVGL) encompassing both unsupervised and semi-supervised settings …
geo-localization (CVGL) encompassing both unsupervised and semi-supervised settings …
Coming down to earth: Satellite-to-street view synthesis for geo-localization
The goal of cross-view image based geo-localization is to determine the location of a given
street view image by matching it against a collection of geo-tagged satellite images. This …
street view image by matching it against a collection of geo-tagged satellite images. This …
Sample4geo: Hard negative sampling for cross-view geo-localisation
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 …
specific pre-processing or zooming strategies are necessary to determine accurate positions …
Cross-view geo-localization with layer-to-layer transformer
In this work, we address the problem of cross-view geo-localization, which estimates the
geospatial location of a street view image by matching it with a database of geo-tagged …
geospatial location of a street view image by matching it with a database of geo-tagged …
Beyond cross-view image retrieval: Highly accurate vehicle localization using satellite image
This paper addresses the problem of vehicle-mounted camera localization by matching a
ground-level image with an overhead-view satellite map. Existing methods often treat this …
ground-level image with an overhead-view satellite map. Existing methods often treat this …
RFNet: Region-aware fusion network for incomplete multi-modal brain tumor segmentation
Most existing brain tumor segmentation methods usually exploit multi-modal magnetic
resonance imaging (MRI) images to achieve high segmentation performance. However, the …
resonance imaging (MRI) images to achieve high segmentation performance. However, the …