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 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 …

Given a ground-level query image and a geo-referenced aerial image that covers the
query's local surroundings, fine-grained cross-view localization aims to estimate the location …

GNSS signal classification to LOS and NLOS signals is of great value for conventional
ranging‐based and shadow matching algorithms. The most common attribute for performing …

The accuracy of conventional global navigation satellite systems (GNSS) positioning in
dense urban areas is severely degraded due to blockage and reflection of the signals by the …

The performance of different filtering algorithms combined with 3D mapping-aided (3DMA)
techniques is investigated in this paper. Several single-and multi-epoch filtering algorithms …

Conventional GNSS positioning in dense urban areas exhibits errors of tens of meters due
to non-line-of-sight (NLOS) reception and multipath interference. Inertially-aided extended …

The reliable and accurate localization of people and vehicles is one of the challenges of
intelligent transportation systems (ITS) s. This has led to a variety of technical approaches in …

Commercial GNSS devices tend to perform poorly in urban canyon environments. The
dense and tall buildings block the signals from many of the satellites. In this work, we …

We propose a novel end-to-end method for cross-view pose estimation. Given a ground-
level query image and an aerial image that covers the query's local neighborhood, the 3 …