Design of a Wide-Beam Microstrip Array Antenna for Automotive Radar Application
IEEE Access, 2021 In this paper, a novel wide-beam microstrip patch array antenna is proposed for automotive radar applications. Different from the regular wide-beam antenna, which is designed to achieve the wide-beam unit radiation performance, the proposed array antenna
Xinyan Yang, Xianfeng Liu
doaj +1 more source
Approximate maximum likelihood estimation of two closely spaced sources [PDF]
, 2014 The performance of the majority of high resolution algorithms designed for either spectral analysis or Direction-of-Arrival (DoA) estimation drastically degrade when the amplitude sources are highly correlated or when the number of available snapshots is
Besson, Olivier +2 more
core +4 more sources
Combining automotive radar and LiDAR for surface detection in adverse conditions
IET Radar, Sonar & Navigation, 2021 Automotive radar and light detection and ranging (LiDAR) sensors have complementary strengths and weaknesses for 3D surface mapping. We present a method using Markov chain Monte Carlo sampling to recover surface returns from full‐wave longitudinal ...
Andrew M. Wallace +3 more
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Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles
, 2019 Radar-based road user classification is an important yet still challenging task towards autonomous driving applications. The resolution of conventional automotive radar sensors results in a sparse data representation which is tough to recover by ...
Appenrodt, Nils +3 more
core +1 more source
SiGe process integrated on-chip dipole antenna on finite size ground plane [PDF]
, 2013 This letter investigates the effect of a finite-size ground plane on the radiation pattern and reflection coefficient of a SiGe process integrated on-chip antenna.
Goettel, Benjamin +3 more
core +1 more source
Optimisation of sparse array configuration using ambiguity function in automotive radar application
The Journal of Engineering, 2019 Direction of arrival estimation is one of the key technologies in automotive radar system. The angular resolution is an important indicator for evaluating the radar performance.
Zou Le +3 more
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Road Environment Recognition for Automotive FMCW RADAR Systems Through Convolutional Neural Network
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
doaj +1 more source
Automotive radar – A signalprocessing perspective oncurrent technology andfuture systems [PDF]
, 2018 IEEE Distinguished Microwave LecturerRadar systems are a key technology of modern vehicle safety & comfort systems. Without doubt it will only be the symbiosis of Radar, Lidar and camera-based sensor systems which can enable advanced autonomous driving ...
Gardill, Markus
core
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Advanced Science, EarlyView.Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source