Place recognition is seen as a crucial factor to correct cumulative errors in Simultaneous
Localization and Mapping (SLAM) applications. Most existing studies focus on visual place …

The collaborative operation of multiple robots can make up for the shortcomings of a single
robot, such as limited field of perception or sensor failure. multirobots collaborative semantic …

Accurate global localization is an essential ingredient for autonomous mobile robots (AMRs)
operating in enclosed or partially enclosed repetitive environments (eg, office corridors …

Visual place recognition (VPR) is a task that aims to predict the location of an image based
on the existing images. Because image data can often be massive, extracting features …

The utilization of multi-modal sensor data in visual place recognition (VPR) has
demonstrated enhanced performance compared to single-modal counterparts. Nonetheless …

Despite the emergence of various LiDAR-based place recognition methods, the challenge of
place recognition failure due to rotation remains critical. Existing studies have attempted to …

Accurate energy consumption prediction in the injection molding process is crucial for
optimizing energy efficiency in polymer processing. Traditional parameter optimization …

This work reports an information-based landmarks assisted simultaneous localization and
mapping (InfoLa-SLAM) in large-scale scenes using single-line lidar. The solution employed …

Visual Place Recognition (VPR) is a critical technology for achieving robust long-term visual
geo-localization. During the past few years, VPR research mainly focused on ground-based …

Visual Place Recognition (VPR) is fundamental for the global re-localization of robots and
devices, enabling them to recognize previously visited locations based on visual inputs. This …