A Survey on Modelling of Automotive Radar Sensors for Virtual Test and Validation of Automated Driving. [PDF]
Sensors (Basel), 2022 Magosi ZF +4 more
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Automotive Radar Processing With Spiking Neural Networks: Concepts and Challenges. [PDF]
Front Neurosci, 2022 Vogginger B +14 more
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Constraint-Based Hierarchical Cluster Selection in Automotive Radar Data. [PDF]
Sensors (Basel), 2021 Malzer C, Baum M.
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Spiking Neural Network for Fourier Transform and Object Detection for Automotive Radar. [PDF]
Front Neurorobot, 2021 López-Randulfe J +3 more
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A Novel 65 nm Active-Inductor-Based VCO with Improved Q-Factor for 24 GHz Automotive Radar Applications. [PDF]
Sensors (Basel), 2022 Behera P +5 more
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High-Resolution and Large-Detection-Range Virtual Antenna Array for Automotive Radar Applications. [PDF]
Sensors (Basel), 2021 Abdullah H +3 more
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Array antenna with series-fed configuration providing high radiation performances for automotive radar in IoT applications. [PDF]
Sci RepZakeri H +5 more
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The Degradation of Automotive Radar Sensor Signals Caused by Vehicle Vibrations and other Nonlinear Movements. [PDF]
Sensors (Basel), 2020 Hau F, Baumgärtner F, Vossiek M.
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A high-selectivity 24-GHz SIW-DGS-CPW bandpass filter with wide stopband rejection for automotive radar and ADAS. [PDF]
Sci RepAbada AM +3 more
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Novel automotive radar applications
, 2011 The first commercial automotive radars are designed for blind-spot detection, collision warning, and automatic cruise control. These radars, however, could be used for other applications as well, such as road condition classification,vulnerable road user detection, and data transfer from ubiquitous sensors or tags. This paper discusses automotive radar
Pursula Pekka, Viikari Ville
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