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Ahmad, Bashar I. (author), Rogers, Colin (author), Harman, Stephen (author), Dale, Holly (author), Jahangir, Mohammed (author), Antoniou, Michael (author), Baker, Chris (author), Newman, Mike (author), Fioranelli, F. (author)Automatic target classification or recognition is a critical capability in noncooperative surveillance with radar in several defence and civilian applications. It is a well-established research field and numerous techniques exist for recognizing targets, including miniature unmanned air systems or drones (i.e., small, mini, micro, and nano...journal article 2024
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Önen, Çağan (author), Pandharipande, Ashish (author), Joseph, G. (author), Myers, N.J. (author)Occupancy grid maps provide information about obstacles and available free space in the environment and are crucial in automotive driving applications. An occupancy map is constructed using point cloud data from sensor modalities such as light detection and ranging (LiDAR) and radar used for automotive perception. In this article, we...journal article 2024
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- Delgado Blasco, José Manuel (author) doctoral thesis 2023
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Roldan Montero, I. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)A novel framework to enhance the angular resolution of automotive radars is proposed. An approach to enlarge the antenna aperture using artificial neural networks is developed using a self-supervised learning scheme. Data from a high angular resolution radar, i.e., a radar with a large antenna aperture, is used to train a deep neural network...journal article 2023
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Ren, Liyuan (author), Yarovoy, Alexander (author), Fioranelli, F. (author)The problem of radar-based counting of multiple individuals moving as a single group is addressed using an mm-wave multiple-input-multiple-output (MIMO) frequency-modulated continuous wave (FMCW) radar. This problem is challenging because the different individuals are closer to each other than the range/azimuth resolution, and their bulk...journal article 2023
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Yuan, S. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)The problem of high-resolution direction-of-arrival (DOA) estimation based on a limited amount of snapshots in automotive multiple-input multiple-output (MIMO) radar has been studied. The number of snapshots is restricted to minimize target spread/migration in range and/or Doppler domains. A computationally efficient approach for side-looking...journal article 2023
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Palffy, A. (author), Kooij, J.F.P. (author), Gavrila, D. (author)Early and accurate detection of crossing pedestrians is crucial in automated driving in order to perform timely emergency manoeuvres. However, this is a difficult task in urban scenarios where pedestrians are often occluded (not visible) behind objects, e.g., other parked vehicles. We propose an occlusion aware fusion of stereo camera and...journal article 2023
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Ding, Chuanwei (author), Zhang, Li (author), Chen, Haoyu (author), Hong, Hong (author), Zhu, Xiaohua (author), Fioranelli, F. (author)Radar-based solutions have attracted great attention in human activity recognition (HAR) for their advantages in accuracy, robustness, and privacy protection. The conventional approaches transform radar signals into feature maps and then directly process them as visual images. While effective, these image-based methods may not be the best...journal article 2023
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Palffy, A. (author), Pool, E.A.I. (author), Baratam, Srimannarayana (author), Kooij, J.F.P. (author), Gavrila, D. (author)Next-generation automotive radars provide elevation data in addition to range-, azimuth- and Doppler velocity. In this experimental study, we apply a state-of-the-art object detector (PointPillars), previously used for LiDAR 3D data, to such 3+1D radar data (where 1D refers to Doppler). In ablation studies, we first explore the benefits of...journal article 2022
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Shan, X. (author), Steele-Dunne, S.C. (author), Huber, M. (author), Hahn, Sebastian (author), Wagner, Wolfgang (author), Bonan, Bertrand (author), Albergel, Clement (author), Calvet, Jean-Christophe (author), Ku, Ou (author), Georgievska, Sonja (author)A Deep Neural Network (DNN) is used to estimate the Advanced Scatterometer (ASCAT) C-band microwave normalized backscatter (σ40o), slope (σ′) and curvature (σ″) over France. The Interactions between Soil, Biosphere and Atmosphere (ISBA) land surface model (LSM) is used to produce land surface variables (LSVs) that are input to the DNN. The DNN...journal article 2022
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Fioranelli, F. (author), Zhu, S. (author), Roldan Montero, I. (author)Linked to the increasing availability of datasets for radar-based human activity recognition (HAR), in this Student Highlights contribution, we report on a classification project that a group of 23 graduate students performed at TU Delft. The students were asked to work in groups of 2-3 members and to use the publicly available University of...journal article 2022
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Rol, M.P. (author), Nijboer, Ronald (author), Yarovoy, Alexander (author)Electromagnetic (EM) waves propagate through the atmosphere where they are refracted depending on the composition of the atmosphere. This refraction highly influences the propagation of the EM-waves. Certain atmospheric conditions can cause EM-waves to get trapped within a duct. In these ducts blind zones may occur, where there is no EM-wave...conference paper 2022
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Khabbazan, S. (author), Steele-Dunne, S.C. (author), Vermunt, P.C. (author), Judge, J. (author), Vreugdenhil, M. (author), Gao, G. (author)The presence of surface water on the canopy affects radar backscatter. However, its influence on the relationship between radar backscatter and crop biophysical parameters has not been investigated. The aim of this study was to quantify the influence of surface canopy water (SCW) on the relationship between L-band radar backscatter and...journal article 2022
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Li, Xinyu (author), He, Yuan (author), Fioranelli, F. (author), Jing, Xiaojun (author)Human activity recognition (HAR) plays a vital role in many applications, such as surveillance, in-home monitoring, and health care. Portable radar sensor has been increasingly used in HAR systems in combination with deep learning (DL). However, it is both difficult and time-consuming to obtain a large-scale radar dataset with reliable labels...journal article 2022
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Yang, Kai (author), Abbasi, Qammer H. (author), Fioranelli, F. (author), Romain, Olivier (author), Le Kernec, Julien (author)Radar is now widely used in human activity classification because of its contactless sensing capabilities, robustness to light conditions and privacy preservation compared to plain optical images. It has great value in elderly care, monitoring accidental falls and abnormal behaviours. Monostatic radar suffers from degradation in performance...conference paper 2022
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Zhang, Xinyu (author), Abbasi, Qammer H. (author), Fioranelli, F. (author), Romain, Olivier (author), Le Kernec, Julien (author)Population ageing has become a severe problem worldwide. Human activity recognition (HAR) can play an important role to provide the elders with in-time healthcare. With the advantages of environmental insensitivity, contactless sensing and privacy protection, radar has been widely used for human activity detection. The micro-Doppler...conference paper 2022
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Petrov, N. (author), Yiğit, Erkut (author), Krasnov, O.A. (author), Yarovoy, Alexander (author)The paper presents the statistical analysis of trihedral corner reflectors RCS in presence of mass production and installation errors. It is shown that the degradation of RCS from its nominal value can be modeled by Beta distribution. The derived probability density functions (PDF) of corner reflector RCS is further exploited to design an...conference paper 2022
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Dupeyroux, J.J.G. (author), Dinaux, Raoul (author), Wessendorp, Nikhil (author), de Croon, G.C.H.E. (author)In this paper, we introduce the Obstacle Detection and Avoidance (ODA) Dataset for Drones, aiming at providing raw data obtained in a real indoor environment with sensors adapted for aerial robotics in the context of obstacle detection and avoidance. Our micro air vehicle (MAV) is equipped with the following sensors: (i) an event-based camera...conference paper 2022
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Yuan, S. (author), Aubry, P.J. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)The ambiguity problem of targets in Doppler beam sharpening (DBS) with forward-looking radar is considered. While DBS is proposed earlier to improve the angular resolution of the radar while keeping the antenna aperture size limited, such a solution suffers from ambiguities in the case of targets positioned symmetrically with respect to the...journal article 2022
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Petrov, N. (author), Yarovoy, Alexander (author)This paper presents a new method of automotive MIMO radar self-calibration which uses targets of opportunity embedded in road infrastructure, such as road signs and traffic lights. While conventional offline calibration of a phased array antenna requires accurate knowledge of the positions of calibration targets relative to the radar, such...conference paper 2022