Visual localization tackles the challenge of estimating the camera pose from images by
using correspondence analysis between query images and a map. This task is computation …

Visual localization, ie, camera pose estimation in a known scene, is a core component of
technologies such as autonomous driving and augmented reality. State-of-the-art …

Estimating the precise location of a camera using visual localization enables interesting
applications such as augmented reality or robot navigation. This is particularly useful in …

An accurate ego-motion estimation solution is vital for autonomous vehicles. LiDAR is widely
adopted in self-driving systems to obtain depth information directly and eliminate the …

Robust and accurate visual localization is one of the most fundamental elements in various
technologies, such as autonomous driving and augmented reality. While recent visual …

In recent years, many visual positioning algorithms have been proposed based on computer
vision and they have achieved good results. However, these algorithms have a single …

The positioning function of unmanned aerial vehicles (UAVs) is a challenging and
fundamental research topic and is the premise for UAVs to realize autonomous navigation …

Due to the large difference between normal conditions and damaged road images, geo-
location in damaged areas often fails due to occlusion or damage to buildings and iconic …