Results 11 to 20 of about 1,154 (254)
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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Quantitative data analysis of ESAR data [PDF]
Advances in Radio Science, 2013 A synthetic aperture radar (SAR) data processing uses the backscattered electromagnetic wave to map radar reflectivity of the ground surface. The polarization property in radar remote sensing was used successfully in many applications, especially in ...
N. Phruksahiran, M. Chandra
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On the Testing of Advanced Automotive Radar Sensors by Means of Target Simulators
Sensors, 2020 The rapid development and wide commercial implementation of automotive radar sensors are strengthening the already considerable interest in matching radar target simulators.
Premysl Hudec, Viktor Adler
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IEEE Access, 2020 An assessment of polarimetric inverse synthetic aperture radar (Pol-ISAR) imaging is accomplished for realistic target models with the use of our recently developed high-frequency radar cross-section simulator tool called PREDICS.
Sevket Demirci +2 more
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Moving Target Simulation of Multi-Band Radar Based on Doppler Frequency Signal Generation Technology [PDF]
Radioengineering, 2023 This paper proposes a corner reflector and Luneburg ball reflector group. The omnidirectional radar cross-sectional (RCS) distribution characteristics of a fighter are simulated using the sharp and smooth RCS distribution features of the corner and the ...
J. Hao, X. Wang, X. Sun, H.n Gao, L. Zou
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Radar Scenario Generation for Automotive Applications in the E Band
IEEE Journal of Microwaves, 2022 In this publication, a radar scenario generation approach for chirp sequence frequency modulated continuous wave radars simulating targets in the near-range of vehicle surroundings is presented.
Patrick Rippl +3 more
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Applied Sciences, 2023 Conventional energy management strategies (EMSs) of hybrid electric vehicles (HEVs) only utilize in-vehicle information, such as an acceleration pedal, velocity, acceleration, engine RPM, state of charge (SOC), and radar.
Seongmin Ha, Hyeongcheol Lee
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Radar Target Simulation for Vehicle-in-the-Loop Testing [PDF]
Vehicles, 2021 Automotive radar sensors play a vital role in the current development of autonomous driving. Their ability to detect objects even under adverse conditions makes them indispensable for environment-sensing tasks in autonomous vehicles. As their functional operation must be validated in-place, a fully integrated test system is required.
Axel Diewald +8 more
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Remote Sensing, 2023 Due to the limited transmission gain of ubiquitous radar systems, it has become necessary to use a long-time coherent integration method for range-Doppler (RD) analysis.
Xiangyu Peng +3 more
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International Journal of Advanced Robotic Systems, 2021 The study investigated object detection and classification based on both Doppler radar spectrograms and vision images using two deep convolutional neural networks.
Jnana Sai Abhishek Varma Gokaraju +3 more
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