Results 101 to 110 of about 90,374 (275)

Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation [PDF]

Robotics: Science and Systems Conference
Recent open-vocabulary robot mapping methods enrich dense geometric maps with pre-trained visual-language features. While these maps allow for the prediction of point-wise saliency maps when queried for a certain language concept, large-scale ...
Abdelrhman Werby, Chen Huang, M. Büchner, A. Valada, Wolfram Burgard   +4 more
semanticscholar   +1 more source

ADAPT: An Autonomous Forklift for Construction Site Operation

Journal of Field Robotics, EarlyView.
ABSTRACT Efficient material logistics are critical in controlling costs and schedules in the construction industry. However, manual material handling remains prone to inefficiencies, delays, and safety risks. Autonomous forklifts offer a solution to streamline on‐site logistics, reducing reliance on human operators and mitigating labor shortages.
Johannes Huemer, Markus Murschitz, Matthias Schörghuber, Lukas Reisinger, Thomas Kadiofsky, Christoph Weidinger, Mario Niedermeyer, Benedikt Widy, Marcel Zeilinger, Csaba Beleznai, Tobias Glück, Andreas Kugi, Patrik Zips   +12 more
wiley   +1 more source

Integrating multimodal data and machine learning for entrepreneurship research

Strategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Automatic Scene Generation: State-of-the-Art Techniques, Models, Datasets, Challenges, and Future Prospects

IEEE Access
Automatic scene generation is an essential area of research with applications in robotics, recreation, visual representation, training and simulation, education, and more.
Awal Ahmed Fime, Saifuddin Mahmud, Arpita Das, Md. Sunzidul Islam, Jong-Hoon Kim   +4 more
doaj   +1 more source

Open-Vocabulary Octree-Graph for 3D Scene Understanding

2025 IEEE/CVF International Conference on Computer Vision (ICCV)
Open-vocabulary 3D scene understanding is indispensable for embodied agents. Recent works leverage pretrained vision-language models (VLMs) for object segmentation and project them to point clouds to build 3D maps. Despite progress, a point cloud is a set of unordered coordinates that requires substantial storage space and does not directly convey ...
Zhigang Wang 0002, Yifei Su, Chenhui Li, Dong Wang 0028, Yan Huang, Bin Zhao 0001, Xuelong Li 0001   +6 more
openaire   +2 more sources

Comparative Analysis of Stress Adaptation in the Yeast Microbiome of Cactus

Yeast, EarlyView.
Yeasts and related fungi isolated from cacti or nearby non‐cactus plants were characterized phenotypically and genomically, revealing differences that hint at modes of adaptation to the cactus host. ABSTRACT Together with other fungi, yeasts make up a significant component of the plant microbiome. As the planet warms, cacti expand their range.
Alya N. Hussain, Kevin T. Fotso, Michael A. McMurray   +2 more
wiley   +1 more source

Semantic Geometric Modelling of Unstructured Indoor Point Cloud

ISPRS International Journal of Geo-Information, 2018
A method capable of automatically reconstructing 3D building models with semantic information from the unstructured 3D point cloud of indoor scenes is presented in this paper. This method has three main steps: 3D segmentation using a new hybrid algorithm,
Wenzhong Shi, Wael Ahmed, Na Li, Wenzheng Fan, Haodong Xiang, Muyang Wang   +5 more
doaj   +1 more source

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam, Basit Raza, Muhammad Faheem, Aadil Raza   +3 more
wiley   +1 more source

A Relevancy, Hierarchical and Contextual Maximum Entropy Framework for a Data-Driven 3D Scene Generation

Entropy, 2014
We introduce a novel Maximum Entropy (MaxEnt) framework that can generate 3D scenes by incorporating objects’ relevancy, hierarchical and contextual constraints in a unified model.
Mesfin Dema, Hamed Sari-Sarraf
doaj   +1 more source

Collaborative Dynamic 3D Scene Graphs for Automated Driving

2024 IEEE International Conference on Robotics and Automation (ICRA)
Accepted for "IEEE International Conference on Robotics and Automation (ICRA) 2024"
Greve, Elias, Büchner, Martin Alexander, Vodisch, Niclas, Burgard, Wolfram, Valada, Abhinav   +4 more
openaire   +3 more sources