Results 31 to 40 of about 20,653 (256)

Driver distraction detection via multi‐scale domain adaptation network

open access: yesIET Intelligent Transport Systems, 2023
Distracted driving is the leading cause of road traffic accidents. It is essential to monitor the driver's status to avoid traffic accidents caused by distracted driving.
Jing Wang, ZhongCheng Wu
doaj   +1 more source

Editorial

open access: yesMachines, 2023
In recent decades, the research on autonomous driving technologies has enabled the automotive industry to introduce vehicles supported by Advanced Driver-Assistance Systems (ADAS) to the market [...]
Antonios Gasteratos, Ioannis Kostavelis
doaj   +1 more source

Impacts of advanced driver assistance systems on commercial truck driver behaviour performance using naturalistic data

open access: yesIET Intelligent Transport Systems, 2023
Traffic crashes tend to be more serious when commercial trucks are involved. And an increasing number of commercial vehicles are equipped with advanced driver assistance systems (ADAS) for traffic safety improvement.
Chuna Wu, Jing Cao, Yuchuan Du
doaj   +1 more source

Metrology Impact of Advanced Driver Assistance Systems [PDF]

open access: yesElectronic Imaging, 2020
Metrological applications to road environment are usually focused on the characterization of the road, considering as mea- surands several characteristics related to the road as a whole or the performances of single components, like the road surface, lighting systems, active and/or passive signaling and obviously vehicles equipment.
openaire   +2 more sources

Soiling detection for advanced driver assistance systems

open access: yesSeventeenth International Conference on Machine Vision (ICMV 2024)
Soiling detection for automotive cameras is a crucial part of advanced driver assistance systems to make them more robust to external conditions like weather, dust, etc. In this paper, we regard the soiling detection as a semantic segmentation problem.
Filip Beránek   +2 more
openaire   +2 more sources

A Rapid Prototyping Environment for Cooperative Advanced Driver Assistance Systems

open access: yesJournal of Advanced Transportation, 2018
Advanced Driver Assistance Systems (ADAS) were strong innovation drivers in recent years, towards the enhancement of traffic safety and efficiency.
Kay Massow, Ilja Radusch
doaj   +1 more source

Comprehensive evaluation of emerging technologies of advanced driver assistance systems: An overview

open access: yesJournal of Engineering Science and Military Technologies, 2022
Advanced driver assistance systems (ADAS) add significantimprovements for road safety and the effectiveness of driving. Hence,these systems grasp more attention in automotive industrial fields andacademic research.
Ahmed Sharkawy   +2 more
doaj   +1 more source

Feasibility and Safety of Somato‐Cognitive Coordination Therapy for Cerebellar Ataxia Following Pediatric Brain Tumor Treatment

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi   +10 more
wiley   +1 more source

Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall   +2 more
wiley   +1 more source

On Hierarchical Composite Endpoints in Pediatric Cancer Supportive Care: Illustrative Examples From Two Multi‐Center Phase‐III Randomized Clinical Trials

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric supportive care clinical trials often involve multiple clinically important outcomes, complicating trial interpretation. Hierarchical composite endpoints (HCEs) provide a framework to integrate key outcomes according to clinical importance.
Willem H. Collier   +11 more
wiley   +1 more source

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