[HTML][HTML] 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 …
Remote sensing image retrieval in the past decade: Achievements, challenges, and future directions
Remote sensing image retrieval (RSIR) aims to search and retrieve the images of interest
from a large remote sensing image archive, which has remained to be a hot topic over the …
from a large remote sensing image archive, which has remained to be a hot topic over 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 …
Cross-view geo-localization with layer-to-layer transformer
H Yang, X Lu, Y Zhu - Advances in Neural Information …, 2021 - proceedings.neurips.cc
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 …
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 …
Each part matters: Local patterns facilitate cross-view geo-localization
Cross-view geo-localization is to spot images of the same geographic target from different
platforms, eg, drone-view cameras and satellites. It is challenging in the large visual …
platforms, eg, drone-view cameras and satellites. It is challenging in the large visual …
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 …
Joint representation learning and keypoint detection for cross-view geo-localization
In this paper, we study the cross-view geo-localization problem to match images from
different viewpoints. The key motivation underpinning this task is to learn a discriminative …
different viewpoints. The key motivation underpinning this task is to learn a discriminative …
Spatial-aware feature aggregation for image based cross-view geo-localization
In this paper, we develop a new deep network to explicitly address these inherent
differences between ground and aerial views. We observe there exist some approximate …
differences between ground and aerial views. We observe there exist some approximate …