Results 81 to 90 of about 18,380 (225)
Skin‐Like Airflow Odometry for Micro Aerial Vehicles Based on Distributed Thermal Anemometers
Advanced Intelligent Systems, Volume 8, Issue 1, January 2026.A novel bioinspired skin‐like airflow odometry system for micro aerial vehicles employs distributed thermal anemometers to enable motion estimation in GNSS‐denied environments. Computational fluid dynamics simulation validates sensor deployment feasibility, while a transformer‐enhanced gated recurrent unit network extracts high‐precision airflow ...
Weicheng Di +7 more
wiley +1 more source
Micro-Doppler Effect of Extended Streamlined Targets Based on Sliding Scattering Centre Model [PDF]
Radioengineering, 2016 The scattering center of extended streamlined targets can slide when the direction of radiation is changed. The sliding scattering center has influence on the micro-Doppler effect of micro-motion of the extended streamlined target.
Bo Tang
doaj
Decomposition of Multicomponent Micro-Doppler Signals Based on HHT-AMD
Applied Sciences, 2018 Micro-Doppler signals analysis has been emerging as an important topic in target identification, and relative research has been focusing on features extraction and separation of the radar signals.
Wenchao Li, Gangyao Kuang, Boli Xiong
doaj +1 more source
Selection of the key earth observation sensors and platforms focusing on applications for Polar Regions in the scope of Copernicus system 2020-2030 [PDF]
, 2019 An optimal payload selection conducted in the frame of the H2020 ONION project (id 687490) is presented based on the ability to cover the observation needs of the Copernicus system in the time period 2020–2030.
Camps Carmona, Adriano José +6 more
core +2 more sources
Journal of Orthopaedic Research, Volume 44, Issue 1, January 2026.ABSTRACT Arthroplasty surgery is a common and successful end‐stage intervention for advanced osteoarthritis. Yet, postoperative outcomes vary significantly among patients, leading to a plethora of measures and associated measurement approaches to monitor patient outcomes. Traditional approaches rely heavily on patient‐reported outcome measures (PROMs),
Janie L. Astephen Wilson +1 more
wiley +1 more source
A Doppler aliasing free micro-motion parameter estimation method in the terahertz band
EURASIP Journal on Wireless Communications and Networking, 2017 Micro-Doppler, induced by micro-motion of targets, is an important characteristic for target recognition once extracted via parameter estimation. However, micro-Doppler is usually too significant to result in aliasing in the terahertz band.
Qi Yang +3 more
doaj +1 more source
CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations
, 2021 High quality perception is essential for autonomous driving (AD) systems. To reach the accuracy and robustness that are required by such systems, several types of sensors must be combined. Currently, mostly cameras and laser scanners (lidar) are deployed
Newson, A. +4 more
core +3 more sources
Quarterly Journal of the Royal Meteorological Society, Volume 152, Issue 774, January 2026 Part A.We exploit the Field Experiment on Sub‐mesoscale Spatio‐Temporal Variability in Lindenberg (FESSTVaL) to compare the performance of an NWP model at sub‐km resolutions with a traditional LES model. Focusing on clear‐sky ABL turbulence (June 14), shallow convective clouds and surface radiation (June 27), and deep convective cold pools (June 29), we find ...
Mirjana Sakradzija +8 more
wiley +1 more source
Evaluation of turbulent dissipation rate retrievals from Doppler Cloud Radar [PDF]
, 2012 Turbulent dissipation rate retrievals from cloud radar Doppler velocity measurements are evaluated using independent, in situ observations in Arctic stratocumulus clouds. In situ validation data sets of dissipation rate are derived using sonic anemometer
Brooks, IM, Canut, G, Shupe, MD
core +1 more source
Micro-Doppler radar classification of humans and animals in an operational environment [PDF]
Expert Systems with Applications, 2018 Abstract A combined Gaussian mixture model and hidden Markov model (HMM) is developed to distinguish between slow moving animal and human targets using mel-cepstrum coefficients. This method is compared to the state-of-the-art in current micro-Doppler classification and an improvement in performance is demonstrated. In the proposed method, a Gaussian
W. D. van Eeden +4 more
openaire +2 more sources