Results 171 to 180 of about 3,652,664 (303)

Challenges for Automated Cooperative Driving: The AutoNet2030 Approach

DISA
Obst, Marcus, Navarro Oiza, Inaki, de La Fortelle, Arnaud, Qian, Xiangjun, Llatser, Ignacio, Pantazopoulos, Panagiotis, Martinoli, Alcherio, Amditis, Angelos, Vasic, Milos, Marjovi, Ali   +9 more
core   +1 more source

Driver behaviour in highly automated driving: an evaluation of the effects of traffic, time pressure, cognitive performance and driver attitudes on decision-making time using a web based testing platform

, 2014
Driverless cars are a hot topic in today’s industry where several vehicle manufacturers try to create a reliable system for automated driving. The advantages of highly automated vehicles are many, safer roads and a lower environmental impact are some of ...
Eriksson, Alexander
core   +1 more source

Anticipated fear and anxiety of Automated Driving Systems: Estimating the prevalence in a national representative survey. [PDF]

Int J Clin Health Psychol, 2023
Meinlschmidt G, Stalujanis E, Grisar L, Borrmann M, Tegethoff M.   +4 more
europepmc   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Reliable and transparent in-vehicle agents lead to higher behavioral trust in conditionally automated driving systems. [PDF]

Front Psychol, 2023
Taylor S, Wang M, Jeon M.
europepmc   +1 more source

Automated driving regulations – where are we now?

Transportation Research Interdisciplinary Perspectives
Tina Sever, Giuseppe Contissa
semanticscholar   +1 more source

Modular Critical Element Recycling Platform Using a Nanoporous Additively Manufactured Gyroid

Advanced Engineering Materials, EarlyView.
A modular recycling platform integrates 3D‐printed nanoporous gyroid structures to enable efficient critical element recovery. This system utilizes a hierarchical architecture, combining macroscopic channels with polymerization‐induced nanoscale porosity. By systematically tuning structural wall thickness and resin formulation, the platform achieves an
Xiangyu Gao, Keldy Mason, Mert Gülçür, Rachel Paddock‐Lamb, Prince Alvin Fofanah, Zachariah A. Page, Michael Cullinan   +6 more
wiley   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Examining the Effects of Visibility and Time Headway on the Takeover Risk during Conditionally Automated Driving. [PDF]

Int J Environ Res Public Health, 2022
Peng H, Chen F, Chen P.
europepmc   +1 more source