LiDAR-based place recognition (LPR) plays a pivotal role in autonomous driving, which
assists Simultaneous Localization and Mapping (SLAM) systems in reducing accumulated …

Accurate determination of a robot's location, which is referred to as place recognition, is
essential for achieving autonomous navigation. However, complex real-world environments …

The vision-based localization of orchard mobile robots is an indispensable component of
orchard intelligent management, applicable to scenarios such as navigation and harvesting …

Lidar-based Place Recognition (LPR) is crucial for intelligent vehicle navigation. Existing
methods generally create LiDAR descriptors for pairwise comparisons or employ prior maps …

Orchard robots' tasks rely on highly accurate, real-time trajectory estimation and map-
building. In this article, a novel tightly coupled light detection and ranging (LiDAR) inertial …

Place recognition is an important task within autonomous navigation, involving the re-
identification of previously visited locations from an initial traverse. Unlike visual place …

Robust and reliable place recognition and loop closure detection in agricultural
environments is still an open problem. In particular, orchards are a difficult case study due to …

This paper addresses robotic place recognition in horticultural environments using 3D-
LiDAR technology and deep learning. Three main contributions are proposed:(i) a novel …

Constructing a map for long-term localization and navigation poses significant challenges
for orchard robots, especially as the orchard environment changes due to the growth cycle of …