Results 21 to 30 of about 859,950 (171)
Toolbox and Post-Processing Applications for Automotive Radar [PDF]
, 2021 In recent years, companies have pushed the limits to offer partial and fully autonomous driving systems. All vehicles now have a wide array of sensors to aid in driving, ranging from lane assist to automated parallel parking, which culminates into a ...
Tisdale, Evan
core
Deep Learning-based Object Classification on Automotive Radar Spectra
, 2022 S.1950-1955Scene understanding for automated driving requires accurate detection and classification of objects and other traffic participants. Automotive radar has shown great potential as a sensor for driver assistance systems due to its robustness to ...
Rusev, D. +5 more
core +1 more source
Acceleration of parasitic multistatic radar system using GPGPU [PDF]
, 2011 This dissertation details the implementation of PMR [Parasitic Multistatic Radar] signal processing chain in the GPGPU [General Purpose Graphic Processing Units] platform.
John, Mathew
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
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.
Mure-Dubois, James +2 more
core
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
Advanced Electronic Materials, EarlyView.In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj +4 more
wiley +1 more source
94 GHz Monolithic Transmitter for Weather Radar Application [PDF]
, 2011 This thesis was written for concluding my studies at the University of Padua. The main topic is the design of a monolithic transmitter in SiGe bipolar technology, for weather radar application at an operating frequency around 94GHz.
Puliero , Claudio
core
Advanced Intelligent Systems, EarlyView.This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang +8 more
wiley +1 more source
Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems
Advanced Intelligent Systems, EarlyView.Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja +2 more
wiley +1 more source