Results 11 to 20 of about 3,693,461 (301)
IntroductionCollective decisions in dynamic tasks can be influenced by multiple factors, including the operational conditions, quality and quantity of communication, and individual differences. These factors may influence whether two heads perform better
Matthew D. Blanchard +3 more
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Introduction: Prior research shows that physicians in training are at risk for drowsy driving following their clinical duties, which may put them in danger of experiencing adverse driving events.
Walter Green +7 more
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Vehicle-in-the-Loop in Global Coordinates for Advanced Driver Assistance System
Most vehicle controllers are developed and verified with V-model. There are several traditional methods in the automotive industry called “X-in-the-Loop (XIL)”.
Changwoo Park +2 more
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Advanced vehicle technologies such as Advanced Driver Assistance Systems (ADAS) promise increased safety and convenience but are also sophisticated and complex. Their presence in vehicles affects how drivers interact with the technologies and how drivers
Anuj Pradhan +3 more
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Underload on the Road: Measuring Vigilance Decrements During Partially Automated Driving
Partially automated vehicle technology is increasingly common on-road. While this technology can provide safety benefits to drivers, it also introduces new concerns about driver attention.
Thomas McWilliams, Nathan Ward
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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
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IntroductionDriving motor vehicles is a complex task that depends heavily on how visual stimuli are received and subsequently processed by the brain.
Nicole H. Yuen +7 more
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The legalization of cannabis for medicinal and non-medicinal purposes, and the corresponding increase in diversity of cannabis products, has resulted an urgent need for cannabis regulatory science.
C. Austin Zamarripa +4 more
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Comma.ai's approach to Artificial Intelligence for self-driving cars is based on an agent that learns to clone driver behaviors and plans maneuvers by simulating future events in the road. This paper illustrates one of our research approaches for driving simulation. One where we learn to simulate.
Eder Santana, George Hotz
openaire +2 more sources
Visual Scale Factor for Speed Perception [PDF]
Speed perception is an important task depending mainly on optic flow that the driver must perform continuously to control his/her vehicle. Unfortunately it appears that in some driving simulators speed perception is under estimated, leading into speed ...
COLOMBET, Florent +7 more
core +1 more source

