Results 161 to 170 of about 64,798 (259)

Iterative Learning-Based Path and Speed Profile Optimization for an Unmanned Surface Vehicle. [PDF]

Sensors (Basel), 2020
Yang Y, Li Q, Zhang J, Xie Y.
europepmc   +1 more source

Microbial mats and thalassinid shrimp: Spatial and geochemical interactions in a modern intertidal environment

Sedimentology, EarlyView.
ABSTRACT This research examines the spatial and geochemical interactions between mat‐forming microorganisms and thalassinid shrimp in an intertidal flat situated on the shores of Willapa Bay, Washington, USA. The study serves as a contemporary analog for the relationships between mats and burrowing organisms in deep time.
Brette S. Harris, Sara K. Biddle, Maya T. LaGrange, Scott Melnyk, Cody N. Lazowski, Jenifer S. Spence, Daniel Alessi, Jeffrey Kavanaugh, Kurt O. Konhauser, Murray K. Gingras   +9 more
wiley   +1 more source

A Novel Target Detection Method of the Unmanned Surface Vehicle under All-Weather Conditions with an Improved YOLOV3. [PDF]

Sensors (Basel), 2020
Li Y, Guo J, Guo X, Liu K, Zhao W, Luo Y, Wang Z.   +6 more
europepmc   +1 more source

Dynamic Positioning for Unmanned Surface Vehicles

, 2008
This thesis develops a Dynamic Positioning (DP) system for small marine craft by using the LQR controller approach. Development has been done with a 'Viknes 830' vessel in mind, which is operated by the company 'Maritime Robotics AS' and will be equipped for DP operation the during summer of 2008.
openaire   +1 more source

Bioinspired SLAM Approach for Unmanned Surface Vehicle

This paper presents OpenRatSLAM2, a new version of OpenRatSLAM - a bioinspired SLAM framework based on computational models of the rodent hippocampus. OpenRatSLAM2 delivers low-computation-cost visual-inertial based SLAM, suitable for GPS-denied environments.
Coelho, Fabio, Borges, Joao Victor T., Padrao, Paulo, Fuentes, Jose, Costa, Ramon R., Hsu, Liu, Bobadilla, Leonardo   +6 more
openaire   +2 more sources

A highly accurate, low‐cost method for detecting and quantifying soybean leaf flipping phenotype during drought stress

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract A genome‐wide association study (GWAS) using digital images was conducted to delineate regions of the genome that govern the leaf flipping quantitative trait in soybean (Glycine max (L.) Merr). However, converting the digital data to numerical scores for downstream analyses was challenging.
Mohammad Anisur Rahaman, Atit Parajuli, Adnan Hossain Khan, Liang Dong, Madan K Bhattacharyya   +4 more
wiley   +1 more source

Adaptive Stability of Unmanned Surface Vehicle

International Journal of Electrical and Electronics Engineering, 2021
openaire   +1 more source

High‐throughput phenotyping for the prediction and quantification of flower‐related traits in sugarcane

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Sugarcane (Saccharum spp.), a C4 plant, is a vital renewable biofuel and sugar source for industries worldwide. However, synchronizing flowering between parental lines often poses challenges for breeders, hindering effective crossbreeding efforts.
Paulo H. da Silva Santos, João R. Vieira Manechini, Carlos Augusto Dias Kanthack Jr., Mauro Alexandre Xavier, Samira Domingues Carlin, Dilermando Perecin, Thiago G. Marconi, Leandro G. Marconi, Elisson Antonio da Costa Romanel, Stephen Derek Jackson, Marcos. G. A. Landell, Luciana R. Pinto   +11 more
wiley   +1 more source

Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe, Yazhou Sun, Sanai Li, Wenxuan Guo   +3 more
wiley   +1 more source

Wireless Local Area Network Link Sharing in Unmanned Surface Vehicle Control Scenarios. [PDF]

Sensors (Basel)
Gierłowski K, Hoeft M, Bęben A, Sosnowski M.   +3 more
europepmc   +1 more source