Place recognition retrieves scenes from a prior map and identifies previously visited
locations. It is essential to autonomous-driving and robotics in terms of long-term navigation …

LiDAR-based Moving Object Segmentation (MOS) aims to locate and segment moving
objects in point clouds of the current scan using motion information from previous scans …

In urban environments, inspection robots face complex terrain and variable motion states,
posing high demands on their positioning systems. Although the integration of Micro-Electro …

Positioning service is a critical technology that bridges the physical world with digital
information, significantly enhancing efficiency and convenience in life and work. The …

Accurate and robust localization is a critical requirement for autonomous driving and
intelligent robots, particularly in complex dynamic environments and various motion …

Visual localization, a camera pose estimation problem, is a core component of indoor
navigation applications. Visual localization methods based on image feature databases or …

As a commonly used indoor internet-of-things (IoT) positioning method, fingerprinting is
frequently carried out through the fusion of inertial and WiFi or magnetic data. Nevertheless …

The LiDAR localization method is a crucial solution for intelligent vehicles in GNSS-denied
environments. However, moving objects in environments can cause the error of point cloud …

At present, multi-device collaborative navigation is popular in some projects. Most existing
collaborative navigation algorithms depend on point clouds or 3D maps. However, ordinary …

Cityscapes contain a variety of objects, each with a particular role in urban administration
and development. With the rapid growth and implementation of 3D imaging technology …