Results 51 to 60 of about 17,601,894 (287)

GNSS/INS/LiDAR-SLAM Integrated Navigation System Based on Graph Optimization

open access: yesRemote Sensing, 2019
A Global Navigation Satellite System (GNSS)/Inertial Navigation System (INS)/Light Detection and Ranging (LiDAR)-Simultaneous Localization and Mapping (SLAM) integrated navigation system based on graph optimization is proposed and implemented in this ...
Le Chang   +4 more
doaj   +1 more source

A 3D Attitude Estimation Method Based on Attitude Angular Partial Feedback for Polarization-Based Integrated Navigation System

open access: yesSensors, 2022
Polarization (POL) navigation is inspired by insects’ behavior of precepting celestial polarization patterns to orient themselves. It has the advantages of being autonomous and having no accumulative error, which allows it to be used to correct the ...
Pengwei Hu   +4 more
doaj   +1 more source

Covalent Functionalization of 2D Semiconductors: A Roadmap to Advanced Electronic Devices

open access: yesAdvanced Functional Materials, EarlyView.
This Review presents recent advances in the covalent functionalization strategies for two‐dimensional semiconductors and their implementation in modern technologies. Layered materials are modified through diverse molecular chemistries (e.g., thiols, diazonium salts, alkyl halides, and electron‐deficient species) to tailor their surface properties ...
Ramiro Quirós‐Ovies   +2 more
wiley   +1 more source

A Robust Fusion Methodology for MEMS-Based Land Vehicle Navigation in GNSS-Challenged Environments

open access: yesIEEE Access, 2020
How to effectively blend global navigation satellite system (GNSS) and inertial navigation system (INS) data to achieve an optimal solution in harsh environments has always been an urgent task.
Song Yue   +4 more
doaj   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

open access: yesAdvanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long   +26 more
wiley   +1 more source

Benefits of Combined GPS/GLONASS with Low-Cost MEMS IMUs for Vehicular Urban Navigation

open access: yesSensors, 2012
The integration of Global Navigation Satellite Systems (GNSS) with Inertial Navigation Systems (INS) has been very actively researched for many years due to the complementary nature of the two systems.
Giovanni Pugliano   +2 more
doaj   +1 more source

On the possibility of controlling the depth of tillage using an inertial navigation system (INS)

open access: yesE3S Web of Conferences
The article discusses a number of theoretical aspects of the problem of continuous monitoring of the depth of soil cultivation by agricultural machine and tractor units. A method for controlling the depth of tillage is proposed, based on determining the relative position of the tractor and implement relative to each other and relative to the soil ...
Podolskaya E.E.   +2 more
openaire   +2 more sources

Analysis of vision aided inertial navigation systems

open access: yes, 2006
We propose in this paper a method to integrate inertial navigation systems with electro optic imaging devices. Our method is based on updating the inertial navigation system in a Kalman filter structure using line of sight measurements obtained from a ...
Kaygisiz, H. Burak, Yuksel, Yigiter
core   +1 more source

A rao-blackwellized particle filter for INS/GPS integration [PDF]

open access: yes, 2004
The localization performance of a navigation system can be improved by coupling different types of sensors. This paper focuses on INS-GPS integration.
Tourneret, J-Y   +7 more
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

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