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Wang, J. (author), Li, Runlong (author), Zhang, Xinqi (author), He, Yuan (author)As one of the crucial sensors for environment sensing, frequency modulated continuous wave (FMCW) radars are widely used in modern vehicles for driving assistance/autonomous driving. However, the limited frequency bandwidth and the increasing number of equipped radar sensors would inevitably cause mutual interference, degrading target...journal article 2024
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López Valcárcel, L.A. (author), Garcia Sanchez, Manuel (author), Fioranelli, F. (author), Krasnov, O.A. (author)Mutual interference between automotive frequency-modulated continuous-wave (FMCW) radar systems has been a concern over recent years. Several interference mitigation (IM) techniques have been proposed to mitigate this phenomenon, which is deemed to grow in severity as more systems are deployed on the road. In this article, an inexpensive...journal article 2024
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Lei, Fan (author)The driver’s safety is one of the problems that is considered by modern vehicle technologies. Many accidents occur due to extreme weather conditions, such as snow or freezing rain. Such weather causes decreases in the friction of the road surface, which cause danger for drivers in this kind of area. To improve the driver’s safety, ADAS (Advanced...master thesis 2023
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Chen, Yue (author)The increasing use of automotive radars on roads has led to a significant issue of mutual interference between them. To better understand the characteristics and impact of this interference, it is necessary to perform analytical investigations of FMCW radar-to-radar interference. This thesis presents analytical models for FMCW-to-FMCW mutual...master thesis 2023
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Kumbul, U. (author)Autonomous driving is a new emerging technology that will enhance traffic safety. Automotive radars are essential to attaining autonomous driving since they can function in adverse weather conditions and are used for detection, tracking, and classification in traffic settings. However, the dramatic growth in the number of radar sensors used for...doctoral thesis 2023
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Zhu, S. (author), Yarovoy, Alexander (author), Fioranelli, F. (author)The problem of instantaneous ego-motion estimation with mm-wave automotive radar is studied. DeepEgo, a deep learning-based method, is proposed for achieving robust and accurate ego-motion estimation. A hybrid approach that uses neural networks to extract complex features from input point clouds and applies weighted least squares (WLS) for...journal article 2023
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Kumbul, U. (author), Chen, Yue (author), Petrov, N. (author), Silveira Vaucher, C. (author), Yarovoy, Alexander (author)Mutual interference in the frequency modulated continuous wave (FMCW) radar is studied, and the influence of the FMCW interference on the beat frequency is analyzed. An analytical expression for the victim radar received signal spectrum is derived. Different interference scenarios are investigated by means of interference impact on the range...conference paper 2023
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Zhu, S. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)The problem of 2D instantaneous ego-motion estimation for vehicles equipped with automotive radars is studied. To leverage multi-dimensional radar point clouds and exploit point features automatically, without human engineering, a novel approach is proposed that transforms ego-motion estimation into a weighted least squares (wLSQ) problem using...conference paper 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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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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Arun Vijayaraghavan, Arun (author)Over the years in the automotive industry, the use of radar sensors in advanced driver assistant systems (ADAS) has been increasing, shining a light on various safety and security concerns to be dealt, that come along with it. The performances of existing sensor technologies such as camera, LIDAR and GPS can be very well complemented by the use...master thesis 2022
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Palffy, A. (author)This thesis addresses the problem of object detection with automotive radar sensors in the field of intelligent vehicles with special attention to vulnerable road users: pedestrians, cyclists, and motorcyclists. It is not the goal of this work to improve the hardware design or signal processing algorithms of the radar sensors themselves, but to...doctoral thesis 2022
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Ren, Liyuan (author)For the development of automatic People Counting systems, radar is increasingly becoming a popular technology because of the increasingly stringent privacy requirements for people demographic information and the requirement to operate in a challenging environment. Because of the complexity of multi-target movement and the diversity of...master thesis 2022
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Roldan Montero, I. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)Poor angular resolution is one of the main disadvantages of automotive radars, and the reason why lidar technology is widely used in the automotive industry. For a fixed frequency, the angular resolution of a conventional Multiple-Input Multiple-Output (MIMO) radar is limited by the number of physical antennas, and therefore improve the...conference paper 2022
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Yuan, S. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)A method exploiting the movement of the vehicle to boost the cross-range resolution of automotive radar by forming a larger virtual array is proposed. Initial simulated results show that the proposed method with the traditional Digital beamforming (DBF) algorithm can separate targets that cannot be otherwise recognized by the traditional MIMO...conference paper 2022
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Suvarna, Anusha Ravish (author), Koppelaar, Arie (author), Jansen, Feike (author), Wang, J. (author), Yarovoy, Alexander (author)High angular resolution is in high demand in automotive radar. To achieve a high azimuth resolution a large aperture antenna array is required. Although MIMO technique can be used to form larger virtual apertures, a large number of transmitter-receiver channels are needed, which is still technologically challenging and costly. To circumvent this...conference paper 2022
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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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Kumbul, U. (author), Petrov, N. (author), Yarovoy, Alexander (author), Silveira Vaucher, C. (author)Smoothed phase-coded frequency modulated continuous waveform (SPC-FMCW), which is aimed to improve the coexistence of multiple radars operating within the same frequency bandwidth, is studied, and the receiving strategy with a low analog-to-digital converter sampling requirement is investigated. The Gaussian filter is applied to obtain smooth...journal article 2022
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Roldan Montero, I. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)The problem of extended target cross-section estimation has been considered. A two-step method based on the Total Variation Compressive Sensing theory has been proposed to solve it. First, a coarse estimation of the target cross-section is performed with classical beamforming methods, and then Compressive Sensing algorithms have been applied...conference paper 2022
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Chou, Chinghsuan (author)Revolutionary changes in automotive industry toward fully connected electrical vehicles is changing the world of Board Level Reliability (BLR) Vibration Testing. It is taking BLR Vibration tests beyond board level to board module application level.<br/>In this thesis, it contains the development of a reliability test concept called Board Module...master thesis 2021
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