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
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
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
Advanced Science, EarlyView.Sodium ion capacitor (SIC) is currently constrained by the low discharge capacity of commercial activated carbon as positive electrode material. This review provides a holistic summary of research efforts on alternative porous carbon materials for SIC. Image created by the authors with www.biorender.com.
Ademola Adeniji +2 more
wiley +1 more source
Gridless DOA Estimation with Extended Array Aperture in Automotive Radar Applications
Remote SensingMillimeter-wave automotive radar has become an essential tool for autonomous driving, providing reliable sensing capabilities under various environmental conditions.
Pengyu Jiang +4 more
doaj +1 more source
Radar Transformer: An Object Classification Network Based on 4D MMW Imaging Radar
Sensors, 2021 Automotive millimeter-wave (MMW) radar is essential in autonomous vehicles due to its robustness in all weather conditions. Traditional commercial automotive radars are limited by their resolution, which makes the object classification task difficult ...
Jie Bai +5 more
doaj +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
Sonar and radar SAR processing for parking lot detection [PDF]
, 2011 In this paper, SAR processing algorithms for automotive applications are presented and illustrated on data from non-trivial test scenes. The chosen application is parking lot detection.
Bonacci, David +2 more
core
A Wideband 77-GHz, 17.5-dBm Fully Integrated Power Amplifier in Silicon [PDF]
, 2006 A 77-GHz, +17.5 dBm power amplifier (PA) with fully integrated 50-Ω input and output matching and fabricated in a 0.12-µm SiGe BiCMOS process is presented.
Hajimiri, Ali, Komijani, Abbas
core +1 more source