Results 11 to 20 of about 979,995 (200)
Pedestrian and Animal Recognition Using Doppler Radar Signature and Deep Learning
Sensors, 2022 Pedestrian occurrences in images and videos must be accurately recognized in a number of applications that may improve the quality of human life. Radar can be used to identify pedestrians.
Danny Buchman +4 more
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Foot Gesture Recognition Using High-Compression Radar Signature Image and Deep Learning
Sensors, 2021 Recently, Doppler radar-based foot gesture recognition has attracted attention as a hands-free tool. Doppler radar-based recognition for various foot gestures is still very challenging. So far, no studies have yet dealt deeply with recognition of various
Seungeon Song +3 more
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Dual-Scale Doppler Attention for Human Identification
Sensors, 2022 This paper considers a Deep Convolutional Neural Network (DCNN) with an attention mechanism referred to as Dual-Scale Doppler Attention (DSDA) for human identification given a micro-Doppler (MD) signature induced as input.
Sunjae Yoon +4 more
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International Journal of Advanced Robotic Systems, 2021 The study investigated object detection and classification based on both Doppler radar spectrograms and vision images using two deep convolutional neural networks.
Jnana Sai Abhishek Varma Gokaraju +3 more
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Realistic Simulation of Drone Micro-Doppler Signatures
2021 18th European Radar Conference (EuRAD), 2022 This paper presents a novel approach to simulating micro-Doppler signatures caused by drones. The focus of this work is to produce realistic signatures that represent the variation that is observed in live radar measurements. In order to accomplish this, the kinematics and dynamics of a drone flight are modelled to capture the changing rotor rotation ...
Bennett, Cameron +2 more
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Micro-Doppler Parameters Extraction of Precession Cone-Shaped Targets Based on Rotating Antenna
Remote Sensing, 2022 Micro-Doppler is regarded as a unique signature of a target with micro-motions. The sophisticated recognition of the cone-shaped targets can be realized through the micro-Doppler effect.
Zhihao Wang +4 more
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Separation of Doppler radar-based respiratory signatures [PDF]
Medical & Biological Engineering & Computing, 2015 Respiration detection using microwave Doppler radar has attracted significant interest primarily due to its unobtrusive form of measurement. With less preparation in comparison with attaching physical sensors on the body or wearing special clothing, Doppler radar for respiration detection and monitoring is particularly useful for long-term monitoring ...
Siong Lee Yee +3 more
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A comparison of EISCAT and HF Doppler observations of a ULF wave [PDF]
Annales Geophysicae, 1998 Since the middle of 1995, an HF Doppler sounder has been running almost continuously in northern Norway, with the receiver at Ramfjordmoen and the transmitter at Seljelvnes.
D. M. Wright, T. K. Yeoman, J. A. Davies
doaj +1 more source
Laser Doppler imaging of microflow [PDF]
Journal of the European Optical Society-Rapid Publications, 2006 We report a pilot study with a wide-field laser Doppler detection scheme used to perform laser Doppler anemometry and imaging of particle-seeded microflow.
Atlan M., Gross M., Leng J.
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Classification of Small Drones Using Low-Uncertainty Micro-Doppler Signature Images and Ultra-Lightweight Convolutional Neural Network [PDF]
IEEE Transactions on Image Processing, 2020 Many studies have attempted to classify small drones in response to threats posed by the technical progress of small drones. Recently, small drones have been classified utilizing convolutional neural networks (CNNs) with micro-Doppler signature (MDS ...
Junhyeong Park, Jun-Sung Park
semanticscholar +1 more source