Searched for: author%3A%22Fioranelli%2C+F.%22
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Li, Haobo (author), Le Kernec, Julien (author), Mehul, Ajay (author), Fioranelli, F. (author)
This paper discusses a fusion framework with data from multiple, distributed radar sensors based on conventional classifiers, and transfer learning with pre-trained deep networks. The application considered is the classification of gait styles and the detection of critical accidents such as falls. The data were collected from a network comprised...
conference paper 2020
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Yun, Joongsup (author), Anderson, David (author), Fioranelli, F. (author)
This paper presents parametric investigation results on a staring FMCW radar system which targets drone swarms. The parametric investigation has been carried out by using the RAPID-SIM which facilitates system-level analysis of drone swarms' radar signatures. This paper explains concepts of the simulator's each module and also covers two...
conference paper 2020
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Bennet, Cameron (author), Jahangir, Mohammad (author), Fioranelli, F. (author), Ahmad, Bashar I (author), Le Kernec, Julien (author)
The commercialization of drones has granted the public with unprecedented access to unmanned aviation. As such, the detection, tracking, and classification of drones in radars have become an area in high demand to mitigate accidental or voluntary misuse of these platforms. This paper focuses on the classification of drone targets in a safety...
conference paper 2020
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Guendel, Ronny (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
Micro-Doppler spectrograms are a conventional data representation domain for movement recognition such as Human Activity Recognition (HAR) or gesture detection. However, they present the problem of time-frequency resolution trade-offs of Short-Time Fourier Transform (STFT), which may have limitations due to unambiguous Doppler frequency, and the...
journal article 2020
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Lan, Lan (author), Xu, Jingwei (author), Liao, Guisheng (author), Zhang, Yuhong (author), Fioranelli, F. (author), Cheung So, Hing (author)
Suppression of radar-to-radar jammers, especially the mainbeam jammers, has been an urgent demand in vehicular sensing systems with the expected increased number of vehicles equipped with radar systems. This paper deals with the suppression of mainbeam deceptive jammers with frequency diverse array (FDA)-multiple-input multiple-output (MIMO)...
journal article 2020
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Yang, Fawei (author), Le Kernec, Julien (author), Fioranelli, F. (author), Liu, Quanhua (author)
This paper presents a shape feature aided target detection method for micro-drone surveillance radar in order to mitigate the false alarms caused by the ground clutter. The method consists of a segmentation threshold selection method based on target measurements and a shape-feature extraction method based on Hu moments. Then the performance...
conference paper 2020
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Li, X. (author), He, Y. (author), Fioranelli, F. (author), Jing, X. (author), Yarovoy, Alexander (author), Yang, Y. (author)
The performance of deep learning (DL) algorithms for radar-based human motion recognition (HMR) is hindered by the diversity and volume of the available training data. In this article, to tackle the issue of insufficient training data for HMR, we propose an instance-based transfer learning (ITL) method with limited radar micro-Doppler (MD)...
journal article 2020
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Li, H. (author), Mehul, A. (author), Kernec, J. Le (author), Gurbuz, S. Z. (author), Fioranelli, F. (author)
This paper presents different information fusion approaches to classify human gait patterns and falls in a radar sensors network. The human gaits classified in this work are both individual and sequential, continuous gait collected by a FMCW radar and three UWB pulse radar placed at different spatial locations. Sequential gaits are those...
journal article 2020
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Li, X. (author), Li, Zhenghui (author), Fioranelli, F. (author), Yang, Shufan (author), Romain, Olivier (author), Le Kernec, Julien (author)
Radar-based classification of human activities and gait have attracted significant attention with a large number of approaches proposed in terms of features and classification algorithms. A common approach in activity classification attempts to find the algorithm (features plus classifier) that can deal with multiple activities analysed in...
journal article 2020
Searched for: author%3A%22Fioranelli%2C+F.%22
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