A Prototype of Automotive 77 GHz Radar
Известия высших учебных заведений России: Радиоэлектроника, 2021 Introduction. Automotive radars are the main tools for providing traffic safety. The development of such radars involve a number of technical difficulties due to the manufacture of high-precision extremely high-frequency (EHF) printed circuit boards.
O. I. Bureneva +5 more
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Interference Analysis for mmWave Automotive Radar Considering Blockage Effect [PDF]
Sensors, 2021 Due to the increasing number of vehicles equipped with millimeter wave (mmWave) radars, interference among automotive radars is becoming a major issue. This paper explores the automotive radar interference in both two-lane and multi-lane scenarios using ...
Liping Kui, Sai Huang, Zhiyong Feng
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Impact of system parameter selection on radar sensor performance in automotive applications [PDF]
Advances in Radio Science, 2012 The paper deals with the investigation of relevant boundary conditions to be considered in order to operate 77/79 GHz narrow and ultra wide band automotive radar sensors in the automotive platform and the automotive environment.
H.-L. Blöecher +5 more
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Road Environment Recognition for Automotive FMCW RADAR Systems Through Convolutional Neural Network [PDF]
IEEE Access, 2020 In this study, we propose a method to recognize road environments with automotive frequency-modulated continuous wave (FMCW) radar systems. For automotive radar systems on the road, diverse road environments are observed.
Heonkyo Sim +4 more
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Mounting Angle Prediction for Automotive Radar Using Complex-Valued Convolutional Neural Network [PDF]
SensorsIn advanced driver-assistance systems (ADASs), the misalignment of the mounting angle of the automotive radar significantly affects the accuracy of object detection and tracking, impacting system safety and performance.
Sunghoon Moon, Younglok Kim
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YOLO-Based Simultaneous Target Detection and Classification in Automotive FMCW Radar Systems [PDF]
Sensors, 2020 This paper proposes a method to simultaneously detect and classify objects by using a deep learning model, specifically you only look once (YOLO), with pre-processed automotive radar signals.
Woosuk Kim +4 more
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Deep Learning Based Image Enhancement for Automotive Radar Trained With an Advanced Virtual Sensor
IEEE Access, 2022 This paper introduces a novel deep learning based concept for image enhancement and distortion suppression in automotive radar signal processing. The deep neural network (DNN) is trained solely on virtual data that is generated by an automotive MIMO ...
Christian SCHUsLER +4 more
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Gapwaveguide Automotive Imaging Radar Antenna With Launcher in Package Technology [PDF]
IEEE Access, 2023 A 77 GHz gapwaveguide radar antenna system with launcher-in-package (LiP) technology is presented in this paper for automotive imaging applications. Firstly, state-of-the-art LiP technology integrated with radar transceivers is proposed. The transceivers
Qiannan Ren +7 more
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A millimeter-wave automotive radar with high angular resolution for identification of closely spaced on-road obstacles. [PDF]
Sci Rep, 2023 Sun R +6 more
europepmc +3 more sources
II. Millimeter-Wave Automotive Radar
IEEJ Transactions on Electronics, Information and Systems, 1996 Naofumi Okubo
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