Results 81 to 90 of about 3,565 (242)

Autonomous Navigation in Large‐Scale Underground Environments Based on a Purely Topological Understanding of Tunnel Networks

Journal of Field Robotics, EarlyView.
ABSTRACT This work presents a non‐geometrical navigation approach based on a purely topological understanding of underground environments. By conceptualizing subterranean scenarios as a set of tunnels that intersect with each other, and taking a navigation approach based on topological instructions, we simplify the navigation problem to the sequential ...
Lorenzo Cano, Danilo Tardioli, Alejandro R. Mosteo   +2 more
wiley   +1 more source

Efficient and Adaptive Autonomous Guidance and Control of Planetary Rover With Improved Traction Controller and Dynamic Cost Map

Journal of Field Robotics, EarlyView.
ABSTRACT Planetary exploration is rapidly gaining importance within the space research community. Autonomous locomotion of rovers requires consideration of several mobility aspects to ensure safety, including avoiding hazardous areas that can cause the robot to become immobilized in soft soil or damaged in sharp terrains.
Alessio De Luca, Luca Muratore, Nikos G. Tsagarakis, Martin Azkarate   +3 more
wiley   +1 more source

Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs

Remote Sensing in Ecology and Conservation, EarlyView.
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law, Yi‐Fei Gu, Shuwen Liu, Guangqin Song, Aland H. Y. Chan, Cham Man Tse, Zhonghua Liu, Martha J. Ledger, Billy C. H. Hau, Sawaid Abbas, Jin Wu   +10 more
wiley   +1 more source

Computer-Vision Control for a Floor-Tiling Robot [PDF]

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC), 1997
Ronie Navon, Yehiel Rosenfeld
openaire   +1 more source

Semi‐automated seal detection on the Western Antarctic Peninsula: an unsupervised machine learning approach for detecting ice seals in aerial survey data

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a semi‐automated, rule‐based image analysis pipeline to detect ice seals in aerial surveys of the Western Antarctic Peninsula during an unusually low sea ice year. By using simple hierarchical clustering instead of deep learning, the method substantially reduced human annotation effort while achieving 82% recall, identifying 758 ...
Claire McGinnity, Connor C.G. Bamford, Nathan Fenney, Andrew Fleming, Jaume Forcada, Michael S. Tift, Luis A. Hückstädt, Daniel P. Costa, Peter T. Fretwell   +8 more
wiley   +1 more source

Classification of tree species and standing dead trees in Boreal forests using UAV‐based RGB, multispectral, and LiDAR point clouds

Remote Sensing in Ecology and Conservation, EarlyView.
We evaluated single‐ and multi‐sensor UAV approaches for classifying tree species and standing dead trees in boreal forests, focusing on key biodiversity indicators such as European aspen. Using spectral and structural features extracted from RGB, multispectral (MSP), and LiDAR point clouds for 1,205 field‐measured trees, we compared classification ...
Anton Kuzmin, Lauri Korhonen, Topi Tanhuanpää, Mikko Kukkonen, Matti Maltamo, Timo Kumpula   +5 more
wiley   +1 more source

Coverage Path Planning Using Reinforcement Learning-Based TSP for hTetran-A Polyabolo-Inspired Self-Reconfigurable Tiling Robot. [PDF]

Sensors (Basel), 2021
Le AV, Veerajagadheswar P, Thiha Kyaw P, Elara MR, Nhan NHK.   +4 more
europepmc   +1 more source

Investigating the Environmental Impact of Additive Construction: A Systematic Analysis of the Life Cycle Assessment Studies

Sustainable Development, EarlyView.
ABSTRACT Additive Manufacturing (AM) has been identified as a potential catalyst for a paradigm shift within the construction industry, due to its capacity to enhance sustainability, reduce waste, and augment design flexibility. This study presents a systematic literature review (SLR) that explores the application of Life Cycle Assessment (LCA) in ...
Antonio Mastropasqua, Francesco Paolo Lagrasta, Michele De Nicolò, Pierpaolo Pontrandolfo   +3 more
wiley   +1 more source

Interpretable CRAM‑Enhanced Lightweight Dual‑Branch CNN for Real‑Time Breast Cancer Histopathology in Internet‑of‑Medical‑Things Environments

Small, EarlyView.
This study presents an interpretable, lightweight hybrid deep learning model for real‐time analysis of breast cancer histopathology in IoMT‐enabled diagnostic systems. By integrating MobileNetV2 and EfficientNet‐B0 with a novel contextual recurrent attention module (CRAM), the framework achieves near‐perfect accuracy while providing transparent Grad ...
Roseline Oluwaseun Ogundokun, Rotimi‐Williams Bello, Pius Adewale Owolawi, Rytis Maskeliūnas, Abdulsatar Abduljabbar Sultan   +4 more
wiley   +1 more source

AAKD: A standardized and comprehensive acupuncture anesthesia knowledge platform for enhanced recovery after surgery and mechanism

VIEW, EarlyView.
Acupuncture anesthesia (AA) is an application of acupuncture innovation in surgical operations, combined with anesthetic techniques, and is a model of integrated Chinese and Western medicine. We proposed the Acupuncture Anesthesia Knowledge Database (AAKD), in which all data have been meticulously curated by field experts and assessed by a multi ...
Ying Wang, Honglian Huang, Chenchen Feng, Xueli Zhang, Weiting Wang, Ziyi Wei, Jing Li, Xintong Yu, Hanzhi Lu, Chunfang Gao, Ke Wang, Jia Zhou   +11 more
wiley   +1 more source