Performance investigation and repeatability assessment of a mobile robotic system for 3D map**
In this paper, we present a quantitative performance investigation and repeatability
assessment of a mobile robotic system for 3D map**. With the aim of a more efficient and …
assessment of a mobile robotic system for 3D map**. With the aim of a more efficient and …
Collaborative 3D scene reconstruction in large outdoor environments using a fleet of mobile ground robots
Teams of mobile robots can be employed in many outdoor applications, such as precision
agriculture, search and rescue, and industrial inspection, allowing an efficient and robust …
agriculture, search and rescue, and industrial inspection, allowing an efficient and robust …
PFENet: Towards precise feature extraction from sparse point cloud for 3D object detection
Y Li, Q Li, C Gao, S Gao, H Wu, R Liu - Neural Networks, 2025 - Elsevier
Accurate 3D point cloud object detection is crucially important for autonomous driving
vehicles. The sparsity of point clouds in 3D scenes, especially for smaller targets like …
vehicles. The sparsity of point clouds in 3D scenes, especially for smaller targets like …
A novel framework of modelling, control, and simulation for autonomous quadrotor UAVs utilizing Arduino mega
In recent decades, there has been a constant increase in the use of unmanned aerial
vehicles (UAVs). There has also been a huge growth in the number of control algorithms to …
vehicles (UAVs). There has also been a huge growth in the number of control algorithms to …
Indoor multi-robot cooperative map** based on geometric features
Z Zhu, W Jiang, L Yang, Z Luo - IEEE Access, 2021 - ieeexplore.ieee.org
To improve the efficiency and accuracy of the indoor multi-robot cooperative map**, the
extraction method of overlap** regions between each local map based on the geometric …
extraction method of overlap** regions between each local map based on the geometric …
CAOM: Change-aware online 3D map** with heterogeneous multi-beam and push-broom LiDAR point clouds
Abstract A High-Definition (HD) map is an essential component not only for autonomous
vehicles but also for surveyors in favor of city management. Moreover, the HD map must be …
vehicles but also for surveyors in favor of city management. Moreover, the HD map must be …
Precise iterative closest point algorithm for RGB-D data registration with noise and outliers
LX Liang - Neurocomputing, 2020 - Elsevier
In this paper, we propose a precise Iterative Closest Point (ICP) algorithm which is a RGB
information supplemented registration method based on correntropy measurement, which …
information supplemented registration method based on correntropy measurement, which …
Berthing assistance system for autonomous surface vehicles based on 3D LiDAR
Berthing assistance systems (BASs) for berthing operations of autonomous surface vehicles
(ASVs) in restricted waters are very important. Existing BASs are primarily designed for …
(ASVs) in restricted waters are very important. Existing BASs are primarily designed for …
[HTML][HTML] Autonomous navigation system for greenhouse tomato picking robots based on laser SLAM
K Liu, J Yu, Z Huang, L Liu, Y Shi - Alexandria Engineering Journal, 2024 - Elsevier
Aiming at the specific operation path cruising problem of greenhouse tomato picking robots,
this paper designs a laser SLAM (Simultaneous Localization And Map**)-based …
this paper designs a laser SLAM (Simultaneous Localization And Map**)-based …