Results 81 to 90 of about 164,725 (269)

Older Drivers' Experience With Automated Vehicle Technology: Interim Analysis of a Demonstration Study

open access: yesFrontiers in Sustainable Cities, 2020
Older adults (≥65 years) account for 20% of the US population but are over-represented in multiple-vehicle crashes. Automated vehicles (AVs) may hold safety benefits for older drivers, if they adopt this emerging technology.
Sherrilene Classen   +4 more
doaj   +1 more source

Automating Vascular Biology: An End‐to‐End Automated Workflow for High‐Throughput Blood Vessel‐on‐a‐Chip Production and Multi‐Site Validation

open access: yesAdvanced Healthcare Materials, EarlyView.
AngioPlate384 is a 384‐well open‐top platform that automates production of more than 100 miniaturized, perfusable blood vessels embedded in hydrogel and supported by stromal cells. Stromal‐endothelial co‐culture strengthens blood vessel barrier function and yields responses useful for translational planning. Scalable and automation‐ready, it suits drug
Dawn S. Y. Lin   +14 more
wiley   +1 more source

Aiding Automated Shuttles with Their Driving Tasks as an On-Board Operator: A Case Study on Different Automated Driving Systems in Three Living Labs

open access: yesApplied Sciences
Highly automated shuttle vehicles (SAE Level 4) have the potential to enhance public transport services by decreasing the demand for drivers, enabling more frequent and flexible ride options.
Andreas Schrank   +2 more
doaj   +1 more source

Crashed Software: Assessing Product Liability for Software Defects in Automated Vehicles [PDF]

open access: yes, 2018
Automated vehicles will not only redefine the role of drivers, but also present new challenges in assessing product liability. In light of the increased risks of software defects in automated vehicles, this Note will review the current legal and ...
Kim, Sunghyo
core   +1 more source

Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime

open access: yes, 2018
This work addresses the problem of semantic image segmentation of nighttime scenes. Although considerable progress has been made in semantic image segmentation, it is mainly related to daytime scenarios.
Dai, Dengxin, Van Gool, Luc
core   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

open access: yesAdvanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll   +19 more
wiley   +1 more source

Review of Thin Lithium Metal Battery Anode Fabrication – Microstructure – Electrochemistry Relations

open access: yesAdvanced Materials, EarlyView.
Thin, lightweight lithium‐metal anodes are pivotal for practical high‐energy batteries. This review surveys processing routes that convert diverse Li precursors, e.g., ingots, melts, solutions, and vapor, into Li‐rich foils with controlled thickness, areal density, and tailored functionality.
Yuhang Hu   +6 more
wiley   +1 more source

Human-like motion planning model for driving in signalized intersections

open access: yesIATSS Research, 2017
Highly automated and fully autonomous vehicles are much more likely to be accepted if they react in the same way as human drivers do, especially in a hybrid traffic situation, which allows autonomous vehicles and human-driven vehicles to share the same ...
Yanlei Gu   +4 more
doaj   +1 more source

Longitudinal Dynamic versus Kinematic Models for Car-Following Control Using Deep Reinforcement Learning

open access: yes, 2019
The majority of current studies on autonomous vehicle control via deep reinforcement learning (DRL) utilize point-mass kinematic models, neglecting vehicle dynamics which includes acceleration delay and acceleration command dynamics.
Azad, Nasser L., Lin, Yuan, McPhee, John
core   +1 more source

Navigating Ternary Doping in Li‐ion Cathodes With Closed‐Loop Multi‐Objective Bayesian Optimization

open access: yesAdvanced Materials, EarlyView.
The search for advanced battery materials is pushing us into highly complex composition spaces. Here, a space with about 14 million unique combinations is efficiently explored using high‐throughput experimentation guided by Bayesian optimization with a deep kernel trained on both the Materials Project database and our data.
Nooshin Zeinali Galabi   +6 more
wiley   +1 more source

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