Results 101 to 110 of about 243,689 (361)

DIRECT GEOREFERENCING OF UAVS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
Abstract. UAV systems have become an attractive data acquisition platform in emerging applications. As measuring instrument they extend the lineup of possible surveying methods in the field of geomatics. However, most of UAVs are equipped with low-cost navigation sensors such as GPS or INS, allowing a positioning accuracy of 3 to 5 m.
Bláha, Maroš, Eisenbeiss, Henri, Grimm, David, Limpach, Philippe   +3 more
openaire   +4 more sources

Multidisciplinary design optimization of UAV airframes

, 2006
If one considers the problem of converting an aircraft mission profile into an airframe design from an optimization theory perspective, it becomes obvious that the search problem comes with all the trimmings.
Andy Keane, Sobester, A., Andras Sobester, Keane, A.J.   +3 more
core   +1 more source

High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation

Advanced Intelligent Systems, EarlyView.
Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger, Alessandro Marchei, Charbel Toumieh, Dario Floreano   +3 more
wiley   +1 more source

A repetitive learning based fractional order parameter optimization algorithm for extended Wiener systems with backlash nonlinearity subject to binary-valued data

Scientific Reports
An accurate estimation of system parameters is crucial for ensuring high-performance modelling and adaptive control of nonlinear systems, particularly in quantized environments. However, existing multi-innovation estimation algorithms often struggle from
Yinmiao Gong, Yaofeng Feng, Xikun Lu, Li Li   +3 more
doaj   +1 more source

Human‐in‐the‐Loop Swarms: A Bionic Swarm Approach to Real‐World Soil Mapping

Advanced Intelligent Systems, EarlyView.
This article introduces the “Bionic Swarm,” a novel system that lowers the barriers to real‐world swarm validation by abstracting difficult hardware tasks to app‐guided human agents. We demonstrate the system's utility through the experimental validation of a geotechnical soil‐mapping swarm algorithm and show superior performance to baseline approaches
Petras Swissler, Mohammadali Rashidioun, Nicholas Sahu, Raaid Kabir, Ayodeji Aderibigbe, Oladoyin Kolawole   +5 more
wiley   +1 more source

A Deep Learning-Based Framework for Automated Power Distribution Pole Inspection in Complex Backgrounds

IEEE Access
Power distribution poles are critical infrastructure components whose structural degradation, particularly tilting, can threaten power supply reliability.
Jinbin Luo, Junsheng Lin, Zhongling Miu
doaj   +1 more source

Soybean yield prediction from UAV using multimodal data fusion and deep learning

, 2020
Preharvest crop yield prediction is critical for grain policy making and food security. Early estimation of yield at field or plot scale also contributes to high-throughput plant phenotyping and precision agriculture.
M. Maimaitijiang, V. Sagan, P. Sidike, S. Hartling, Flavio Esposito, F. Fritschi   +5 more
semanticscholar   +1 more source

UAV-based solar photovoltaic detection dataset

, 2022
This dataset contains unmanned aerial vehicle (UAV) imagery (a.k.a. drone imagery) and annotations of solar panel locations captured from controlled flights at various altitudes and speeds across two sites at Duke Forest (Couch field and Blackwood field)
Jay Rineer (11935004), Jordan Malof (10022989), T. Robert Fetter (11927524), Kyle Bradbury (814342), Robert Beach (11934996), Simiao Ren (11670787)   +5 more
core   +1 more source

Visual and Visual‐Inertial SLAM Based on Enhanced Deep Learning Features and Motion Smoothness Constraints

Advanced Intelligent Systems, EarlyView.
A visual and visual‐inertial simultaneous localization and mapping (SLAM) algorithm, leveraging enhanced deep learning features and motion smoothness constraints, is proposed in this research work. This method retains the advantages of geometry‐based SLAM methods while effectively utilizing the powerful representational capabilities of data‐driven ...
Maosheng Jiang, Lei Ma, Muhua Zhang, Kai Shen   +3 more
wiley   +1 more source

Analysis on the Propeller Slipstream Interference with Autorotating Rotor Aerodynamic Characteristics

Hangkong gongcheng jinzhan, 2020
The propeller slipstream passed through the rotor plane when the autogyro is flying forward, will produce the unsteady aerodynamic interference on the autorotating rotor.
WU Weiwei, MA Cunwang, SUN Kaijun
doaj   +1 more source