Results 91 to 100 of about 22,647 (298)

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

MPT-Net: mask point transformer network for large scale point cloud semantic segmentation [PDF]

, 2022
Point cloud semantic segmentation is important for road scene perception, a task for driverless vehicles to achieve full fledged autonomy. In this work, we introduce Mask Point Transformer Network (MPT-Net), a novel architecture for point cloud ...
Cham, Tat-Jen, Tang, Zhe Jun
core   +1 more source

Point Cloud Segmentation Algorithm Based on Improved Euclidean Clustering

IEEE Access
Point cloud segmentation is a crucial technique for object recognition and localization, widely employed in various applications such as point cloud registration, 3D reconstruction, object recognition, and robotic grasping.
Fangrui Chen, Feifei Xie, Lin Sun, Yuchao Gu, Zhipeng Zhang, Jinpeng Chen, Jinrui Zhang, Mingzhe Yi   +7 more
doaj   +1 more source

Contrastive Boundary Learning for Point Cloud Segmentation

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Point cloud segmentation is fundamental in understanding 3D environments. However, current 3D point cloud segmentation methods usually perform poorly on scene boundaries, which degenerates the overall segmentation performance. In this paper, we focus on the segmentation of scene boundaries.
Liyao Tang, Yibing Zhan, Zhe Chen 0013, Baosheng Yu, Dacheng Tao   +4 more
openaire   +2 more sources

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source

Clustering-TinyPointNet for fast large-scale point cloud semantic segmentation [PDF]

, 2023
Efficient processing of massive point cloud datasets is crucial for achieving fast semantic segmentation in various applications. While PointNet++ has demonstrated excellent performance in point cloud segmentation, its processing speed may not meet the ...
Kerry Walsh (9843221), Zhenglin Wang (9843413), Fariza Sabrina (9832118), Lasitha Piyathilaka (9826991), Yufeng Lin (9813857)   +4 more
core  

SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network [PDF]

, 2021
Point cloud semantic segmentation is a crucial task in 3D scene understanding. Existing methods mainly focus on employing a large number of annotated labels for supervised semantic segmentation.
Yang, Jian, Hui, Le, Xie, Jin, Cheng, Mingmei   +3 more
core   +1 more source

Weld Seam ROI Detection and Segmentation Method Based on Active–Passive Vision Fusion

Sensors
Rapid detection and precise segmentation of the weld seam region of interest (ROI) remain a core challenge in robotic intelligent grinding. To address this issue, this paper proposes a method for weld seam ROI detection and segmentation based on the ...
Ming Hu, Xiangtao Hu, Jiuzhou Zhao, Honghui Zhan   +3 more
doaj   +1 more source

MOVING WINDOW SEGMENTATION FRAMEWORK FOR POINT CLOUDS [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
Abstract. As lidar point clouds become larger streamed processing becomes more attractive. This paper presents a framework for the streamed segmentation of point clouds with the intention of segmenting unstructured point clouds in real-time. The framework is composed of two main components.
Sithole, G. (author), Gorte, B.G.H. (author)   +1 more
openaire   +4 more sources

Stochastically Generated Digital Twins of 3D Solid‐State Electrolyte Architecture

Advanced Functional Materials, EarlyView.
A stochastic model and validation suite were developed to produce the highest fidelity computer‐generated (Digital Twin) microstructures of random porous tape‐cast solid‐state battery architectures across µm to mm feature sizes from FIB‐SEM to X‐Ray µCT, respectively.
Jonathan O'Neill, Tanner Hamann, Huanyu Zhang, Faruk Okur, Annapaola Parrilli, Antonia Neels, Keith Duncan, Kostiantyn V. Kravchyk, Maksym V. Kovalenko, Eric D. Wachsman   +9 more
wiley   +1 more source