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De Vroe, Jens (author)This work presents an analog front-end (AFE) signal processing chain for automotive FMCW LiDAR. The AFE consists of a high-gain transimpedance amplifier (TIA) followed by a gain-stage. The gain of the AFE is 103.2dBΩ at a bandwidth of 505MHz. Since the noise of FMCW-LiDAR systems is dominated by the shot noise of the local oscillator (LO), the...master thesis 2023
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Kooij, Edward (author)Le Corbusier had a big influence on architecture with his modernistic approach and style. A big inspiration for him was the car and how they were mass produced and standardized, initiated by Henry Ford with the Model T. Inspiration of car design can be seen in his architectural approach and designs. This fascination led to him entering an...student report 2023
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Peeters Weem, Lotte (author)This thesis is conducted with the interior development department of Mercedes- Benz. Two activities form the core of this thesis: interior design for the 2030 EQS, and implementation of Fundamental Needs in the process. The final desgin is the Daedalus: design for the sweet spot between focussing on your tasks and on the surroundings.The first...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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Kaniewski, Tadeusz (author)The computational cost of high-fidelity engineering simulations, for example CFD, is prohibitive if the application requires frequent design iterations or even fully fledged optimization. A popular way to reduce the computational cost and enable fast iteration cycles is to use surrogate models that are trained to predict simulation results from...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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Aleo, Ottavia (author)Improving sustainability in industrial processes is a key topic for the welfare of the environment. One of the major environmental problems caused by industrial processes is industrial waste production. In the automotive industry, the use of polymers such as PA12 for prototyping produces tons of waste per year which are generally destined to...master 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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Bouwmeester, W. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)A novel approach based on the entropy-alpha-anisotropy decomposition, also known as the $H\alpha A$ decomposition, for the recognition of road surface conditions using automotive radar is presented. To apply the $H\alpha A$ decomposition to automotive radar data, a dedicated signal processing pipeline has been developed. To investigate its...journal article 2023
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Ubacht, J. (author), Schmid, Jonathan (author), Rietveld, Elmer (author), Lennartz, Jelmer (author), Rukanova, B.D. (author), Tan, Y. (author)The European Commission initiated a series of Directives and Regulations that aim to turn the linear economy into a climate-neutral and circular economy. Business-to-government information- sharing arrangements play an essential role in monitoring compliance with these regulatory measures. To this end data from the supply chain of products needs...conference paper 2023
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Yuan, S. (author), Zhu, S. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)The problem of estimating the 3D ego-motion velocity using multi-channel FMCW radar sensors has been studied. For the first time, the problem of ego-motion estimation is treated using radar raw signals. A robust algorithm using multi-channel FMCW radar sensors to instantly determine the complete 3D motion state of the ego-vehicle (i.e.,...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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Shoker, Ali (author), Rahli, Vincent (author), Decouchant, Jérémie (author), Esteves-Veríssimo, Paulo (author)Current vehicular Intrusion Detection and Prevention Systems either incur high false-positive rates or do not capture zero-day vulnerabilities, leading to safety-critical risks. In addition, prevention is limited to few primitive options like dropping network packets or extreme options, e.g., ECU Bus-off state. To fill this gap, we introduce the...conference paper 2023
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Pandharipande, Ashish (author), Cheng, Chih Hong (author), Dauwels, J.H.G. (author), Gurbuz, Sevgi Z. (author), Ibanez-Guzman, Javier (author), Li, Guofa (author), Piazzoni, Andrea (author), Wang, Pu (author), Santra, Avik (author)Automotive perception involves understanding the external driving environment and the internal state of the vehicle cabin and occupants using sensor data. It is critical to achieving high levels of safety and autonomy in driving. This article provides an overview of different sensor modalities, such as cameras, radars, and light detection and...journal article 2023
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Rukanova, B.D. (author), Ubacht, J. (author), Turner, B. (author), Tan, Y. (author), Schmid, J. (author), Rietveld, E (author)The United Nations’ Sustainable Development Goals (SDGs) have paved the way toward a more sustainable future. The 2019 EU Green Deal and the 2020 EU Circular Economy Action Plan [1] introduce laws and regulations to facilitate and encourage the transition towards sustainability and a circular economy (CE). For the implementation of these...conference paper 2023
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Bouwmeester, W. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)A method for extracting fully polarimetric statistical properties of road surface radar cross sections is presented. This method is subsequently applied to extract radar cross section information from an asphalt road surface. Furthermore, an approach is introduced to synthesise the scattered signal of road surface returns as measured by a radar....conference paper 2023
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Bouwmeester, W. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)The convergence of polarimetric scattering parameters and H, α and A features of road surfaces under various conditions is analysed. It is shown that the number of radar measurements used for surface classification can be traded off with accuracy of the estimation of the mean value and covariance of S-parameters and H, α and A features....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