Results 21 to 30 of about 897,664 (149)

Acid Mine Drainage Discrimination Using Very High Resolution Imagery Obtained by Unmanned Aerial Vehicle in a Stone Coal Mining Area

open access: yesWater, 2023
Mining of mineral resources exposes various minerals to oxidizing environments, especially sulfide minerals, which are decomposed by water after oxidation and make the water in the mine area acidic.
Xiaomei Kou   +6 more
semanticscholar   +1 more source

Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi   +3 more
wiley   +1 more source

Detection of irrigation inhomogeneities in an olive grove using the NDRE vegetation index obtained from UAV images [PDF]

open access: yes, 2019
We have developed a simple photogrammetric method to identify heterogeneous areas of irrigated olive groves and vineyard crops using a commercial multispectral camera mounted on an unmanned aerial vehicle (UAV).
Jorge Sánchez, Juan   +2 more
core   +2 more sources

Prediction Parameters for Mining Subsidence Based on Interferometric Synthetic Aperture Radar and Unmanned Aerial Vehicle Collaborative Monitoring

open access: yesApplied Sciences, 2023
Coal mining induces surface subsidence, making rapid and precise monitoring of this subsidence a key area of current research. To address the limitations of D-InSAR technology in capturing large-gradient deformations in the central subsidence basin and ...
Mingfei Zhu   +5 more
semanticscholar   +1 more source

The Shifting Paradigms of Disaster Robotics Three Decades of Research

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT The increasing frequency and magnitude of natural disasters worldwide have raised the demand for advanced robotic systems in disaster response. In this research, a comprehensive bibliometric analysis of 2,201 Web of Science database papers was investigate systematically global research trends, patterns and emerging frontiers in disaster ...
Qin Hu   +4 more
wiley   +1 more source

RUR53: an Unmanned Ground Vehicle for Navigation, Recognition and Manipulation

open access: yes, 2020
This paper proposes RUR53: an Unmanned Ground Vehicle able to autonomously navigate through, identify, and reach areas of interest; and there recognize, localize, and manipulate work tools to perform complex manipulation tasks.
Antonello, Morris   +10 more
core   +1 more source

Models for Optimizing Traffic Flow in Unmanned Mining Road Networks Based on High-precision Maps

open access: yesIndustrial Engineering and Innovation Management
: This article proposed a high-precision map based traffic flow optimization model for unmanned mining road networks, aiming to optimize the flow of unmanned vehicles inside the mine through accurate map information and advanced algorithms, reduce ...
Bing Cui   +5 more
semanticscholar   +1 more source

Applications of Unmanned Aerial Vehicle and Artificial Intelligence Technologies in Mining from Exploration to Reclamation

open access: yesMinerals, 2023
Mining has been an essential aspect of human civilization, providing the raw materials necessary for the development of industries and infrastructure [...]
Yosoon Choi
semanticscholar   +1 more source

A Dynamic Correlation‐Information‐Fusion‐Based Spatiotemporal Network for Traffic Flow Forecasting

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Traffic Flow Forecasting (TFF) is a foundational task in the development of Intelligent Transport Systems (ITSs). The primary challenge is to undertake a comprehensive exploration of the intrinsic dynamic spatiotemporal correlations of the road network, unveiling the long‐term evolutionary traffic trends.
Dawen Xia   +6 more
wiley   +1 more source

Effects of spatial ability on multi-robot control tasks [PDF]

open access: yes, 2011
Working with large teams of robots is a very complex and demanding task for any operator and individual differences in spatial ability could significantly affect that performance.
Chien, SY, Lewis, M, Wang, H
core   +2 more sources

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