Feature sensing and robotic grasping of objects with uncertain information: A review

C Wang, X Zhang, X Zang, Y Liu, G Ding, W Yin, J Zhao - Sensors, 2020 - mdpi.com
As there come to be more applications of intelligent robots, their task object is becoming
more varied. However, it is still a challenge for a robot to handle unfamiliar objects. We …

3d objects and scenes classification, recognition, segmentation, and reconstruction using 3d point cloud data: A review

O Elharrouss, K Hassine, A Zayyan, Z Chatri… - arXiv preprint arXiv …, 2023 - arxiv.org
Three-dimensional (3D) point cloud analysis has become one of the attractive subjects in
realistic imaging and machine visions due to its simplicity, flexibility and powerful capacity of …

Improving bug report triage performance using artificial intelligence based document generation model

DG Lee, YS Seo - Human-centric Computing and Information Sciences, 2020 - Springer
Artificial intelligence is one of the key technologies for progression to the fourth industrial
revolution. This technology also has a significant impact on software professionals who are …

Feature-based occupancy map-merging for collaborative slam

S Sunil, S Mozaffari, R Singh, B Shahrrava, S Alirezaee - Sensors, 2023 - mdpi.com
One of the most frequently used approaches to represent collaborative mapping are
probabilistic occupancy grid maps. These maps can be exchanged and integrated among …

High-performance computing systems and applications for AI

G Yi, V Loia - The Journal of Supercomputing, 2019 - Springer
Recently, the integration of High-Performance Computing (HPC) and Artificial Intelligence
(AI) has become an exciting innovative paradigm for industry and life. These two emerging …

An efficient object detection mechanism with LSTM-based object recognition for computer night vision images in edge and cloud environments

P Perumal - Applied Soft Computing, 2025 - Elsevier
Object detection is the critical part for system considering the surveillances, images and so
on. Traditionally, the object detection is being helped to identify the objects present in the …

Ming and Qing Dynasty Official-Style Architecture Roof Types Classification Based on the 3D Point Cloud

Y Dong, M Hou, B Xu, Y Li, Y Ji - ISPRS International Journal of Geo …, 2021 - mdpi.com
The Ming and Qing Dynasty type of official-style architecture roof can provide plenty of prior
knowledge relating to the structure and size of these works of architecture, and plays an …

LSMCL: Long-term Static Mapping and Cloning Localization for autonomous robot navigation using 3D LiDAR in dynamic environments

YC Lee - Expert Systems with Applications, 2024 - Elsevier
One of the challenges in autonomous robot navigation applications is recognizing the exact
location in a dynamic environment in which the location of surrounding objects changes …

Multiple natural features fusion for on-site calibration of LiDAR boresight angle misalignment

W Liu, P Gardoni, Z Li, GM Królczyk… - … on Geoscience and …, 2022 - ieeexplore.ieee.org
Boresight angle misalignment is a major error source in a mobile light detection and ranging
(LiDAR) system (MLS), which directly affects the overall accuracy and quality of MLS …

3D Point Cloud for Objects and Scenes Classification, Recognition, Segmentation, and Reconstruction: A Review

O Elharrouss, K Hassine, A Zayyan… - Cloud Computing and …, 2023 - ojs.wiserpub.com
Abstract Three-dimensional (3D) point cloud analysis has become one of the attractive
subjects in realistic imaging and machine visions due to its simplicity, flexibility and powerful …