In consideration of the significant changes in urban environmental scenes and the impact of
factors such as signal obstruction on positioning, the spatial positions of multi-temporal …

This paper proposes an unsupervised obstacle detection method for dual unmanned
surface vessels (USVs) using the SGNN-RMEN framework. The method utilizes dual-view …

To reduce missed detections in LiDAR-based obstacle detection, this paper proposes a dual
unmanned surface vessels (USVs) obstacle detection method using the MGNN-DANet …

In this study, we present a novel method for creating an environment model suitable for
addressing the sensor placement problem. We extract a detailed environment model from a …

The production of a Building Information Model (BIM) from an existing asset is currently
expensive and needs automation of the registration of the different acquisition data …

Odometry fusion is crucial for mobile robots with various types of sensors. However,
traditional odometry fusion approaches often suffer from high complexity and limited …

This study advances indoor environment modeling by focusing on the optimal placement of
sensors. Our approach involves creating a detailed environment model from a 3D point …

In the process of aligning the point cloud acquired from swaying dual unmanned surface
vehicles (USVs), to address the difficulty of synchronizing point cloud data with pose data …

The fundamental objective of correspondencebased point cloud registration is to estimate
the optimal rigid transformation that maximizes the alignment between two partially …