Results 31 to 40 of about 985,374 (268)
Glaucoma and Driving: On-Road Driving Characteristics
PLOS ONE, 2016 To comprehensively investigate the types of driving errors and locations that are most problematic for older drivers with glaucoma compared to those without glaucoma using a standardized on-road assessment.Participants included 75 drivers with glaucoma (mean = 73.2±6.0 years) with mild to moderate field loss (better-eye MD = -1.21 dB; worse-eye MD = -7.
Wood, Joanne +4 more
openaire +7 more sources
Frontiers in Psychiatry, 2021 As more states in the U.S legalize recreational and medicinal cannabis, rates of driving under the influence of this drug are increasing significantly. Aspects of this emerging public health issue potentially pit science against public policy. The authors believe that the legal cart is currently significantly ahead of the scientific horse.
Godfrey D. Pearlson +5 more
openaire +3 more sources
Velocity Planning Method Base on Fuzzy Neural Network for Autonomous Vehicle
IEEE Access, 2021 In order to improve the comfort performance and reduce the planning algorithm complexity in autonomous vehicle, an intelligent longitudinal velocity planning method based on fuzzy neural network (FNN) is proposed.
Meng Wang +3 more
doaj +1 more source
DNN-Based Map Deviation Detection in LiDAR Point Clouds
IEEE Open Journal of Intelligent Transportation Systems, 2023 In this work we present a novel deep learning-based approach to detect and specify map deviations in erroneous or outdated high-definition (HD) maps using both sensor and map data as input to a deep neural network (DNN).
Christopher Plachetka +4 more
doaj +1 more source
Roadside LiDAR for C-ITS: placement, calibration, and fusion of perception
Journal of Highway and Transportation Research and DevelopmentThe ongoing transition from Intelligent Transport Systems (ITS) to Cooperative Intelligent Transportation System (C-ITS) facilitates the coexistence of connected vehicles (CV) and conventional vehicles.
Changlong Zhang +8 more
doaj +1 more source
Deep Cost Adaptive Convolutional Network: A Classification Method for Imbalanced Mechanical Data
IEEE Access, 2020 Intelligent diagnosis is an important manner for mechanical fault diagnosis in the era of industrial big data, and deep network has received extensive attention in this field because of automatically learning features and classifying entered samples.
Xun Dong +4 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Children with sickle cell disease (SCD) face multiple acute and chronic medical complications that may impact their quality of life as reported by patients themselves. Health‐related social needs (HRSNs), such as food and housing insecurity, are common in people with SCD, but the association between HRSNs and patient‐reported ...
Sarah J. Marks +5 more
wiley +1 more source
Drives in Schelling: Drives as Cognitive Faculties
, 2021 Quite remarkably, Friedrich Wilhelm Joseph Schelling uses the notion of “drive” (and related notions, such as “instinct”) in analysing important cognitive achievements: An important instance of this attitude can be found in his characterizing Kant as a philosopher who operates in the basis of instincts.
openaire +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Cup‐like nuclei are a distinctive morphological feature observed in certain cases of acute lymphoblastic leukemia (ALL). We provide evidence that they characterize DUX4/ERG ALL independently of IKZF1 deletion and reveal marked mitochondrial accumulation in this ALL subset.
Chloé Arfeuille +9 more
wiley +1 more source
International Journal of Automotive Engineering, 2018 Vehicles with SAE Level 2 or 3 automation rely on the driver to intervene and resume control when failures occur. In cases which the driver must steer upon regaining control, the initial conditions of the vehicle’s state variables can affect the success ...
Azadeh DinparastDjadid +6 more
doaj +1 more source