Results 151 to 160 of about 87,554 (260)

Detecting sources of anger in automated driving: driving-related and external factor. [PDF]

Front Neuroergon
Maillant J, Jallais C, Dabic S.
europepmc   +1 more source

Development and Experimental Validation of an Intelligent Camera Model for Automated Driving. [PDF]

Sensors (Basel), 2021
Genser S, Muckenhuber S, Solmaz S, Reckenzaun J.   +3 more
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Moral Complexity in Traffic: Advancing the ADC Model for Automated Driving Systems. [PDF]

Sci Eng Ethics
Cecchini D, Dubljević V.
europepmc   +1 more source

Navigating an Automated Driving Vehicle via the Early Fusion of Multi-Modality. [PDF]

Sensors (Basel), 2022
Haris M, Glowacz A.
europepmc   +1 more source

Automated Driving

, 2019
Uwe Clausen, Matthias Klingner
openaire   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

The arousal paradox in critical task performance in automated driving during sleep inertia using a quasi experimental approach. [PDF]

Sci Rep
Tomzig M, Wörle J, Neukum A, Baumann M.
europepmc   +1 more source

Configurable Sensor Model Architecture for the Development of Automated Driving Systems. [PDF]

Sensors (Basel), 2021
Schmidt S, Schlager B, Muckenhuber S, Stark R.   +3 more
europepmc   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source