Automotive radar – A signalprocessing perspective oncurrent technology andfuture systems [PDF]
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
Dilution Effect for High‐Performance Multiple‐Component Near‐Infrared Organic Photodetectors
The dilution effect in multi‐component organic photodetector effectively suppresses non‐radiative decay and minimizes dark current, while energy‐level‐offset‐governed electron transfer between acceptors maintains efficient charge transport. This synergistic mechanism collectively enables remarkable device performance, including high detectivity and ...
Zhuang Li +9 more
wiley +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
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
Gridless DOA Estimation with Extended Array Aperture in Automotive Radar Applications
Millimeter-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
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
Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles
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
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
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]
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
Beyond Silicon: Toward Sustainable, NIR‐II, and Conformable Organic Photodiodes
In this perspective, a strategic shift in organic photodetector (OPD) research is proposed: instead of the incremental advances in silicon's stronghold arena, the most impactful future for OPDs lies in addressing silicon's intrinsic limitations, i.e., detection in the longer wavelength range above silicon's coverage (>1100 nm, termed as near infrared ...
Hrisheekesh Thachoth Chandran +7 more
wiley +1 more source
Cascaded Kalman filter for target tracking in automotive radar
In automotive anti-collision radar system, the accuracy of velocity is one of the key indicators to measure radar performance. For frequency modulation continuous wave radar with chirp sequence, which is commonly used in automotive radar, there are two ...
Yang Li +4 more
doaj +1 more source

