The problem of localization on a geo-referenced aerial/satellite map given a query ground
view image remains challenging due to the drastic change in viewpoint that causes …

The task of ground-to-aerial image geo-localization can be achieved by matching a ground
view query image to a reference database of aerial/satellite images. It is highly challenging …

Localization and reconstruction are two highly related research areas. Both of them have
developed rapidly in recent years. Apparently, with the help of ground and aerial meta-data …

This letter is about localising a vehicle in an overhead image using FMCW radar mounted
on a ground vehicle. FMCW radar offers extraordinary promise and efficacy for vehicle …

The goal of ground-to-aerial image geo-localization is to determine the location of a ground
query image by matching it against a reference database consisting of aerial/satellite …

The goal of street‐to‐aerial cross‐view image geo‐localization is to determine the location
of the query street‐view image by retrieving the aerial‐view image from the same place. The …

The problem of localization on a geo-referenced satellite map given a query ground view
image is useful yet remains challenging due to the drastic change in viewpoint. To this end …

Traditional approaches to outdoor vehicle localization assume a reliable, prior map is
available, typically built using the same sensor suite as the on-board sensors used during …

This paper is about localising a robot in overhead images using lidar. Specifically; we show
how to solve both place recognition and metric localisation of a lidar using only publicly …

We present a framework for global vehicle localization and 3D point cloud reconstruction
that combines stereo visual odometry, satellite images, and road maps under a particle …