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Towards autonomous driving: technologies and data for vehicles-to-everything communication
V Ušinskis, M Makulavičius, S Petkevičius… - Sensors, 2024 - mdpi.com
Autonomous systems are becoming increasingly relevant in our everyday life. The
transportation field is no exception and the smart cities concept raises new tasks and …
transportation field is no exception and the smart cities concept raises new tasks and …
Distracted driving detection based on the fusion of deep learning and causal reasoning
Distracted driving is one of the key factors that cause drivers to ignore potential road hazards
and then lead to accidents. Existing efforts in distracted behavior recognition are mainly …
and then lead to accidents. Existing efforts in distracted behavior recognition are mainly …
Insights into simulated smart mobility on roundabouts: achievements, lessons learned, and steps ahead
ML Tumminello, E Macioszek, A Granà - Sustainability, 2024 - mdpi.com
This paper explores the domain of intelligent transportation systems, specifically focusing on
roundabouts as potential solutions in the context of smart mobility. Roundabouts offer a safer …
roundabouts as potential solutions in the context of smart mobility. Roundabouts offer a safer …
[PDF][PDF] Sieci nski
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic,
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
Sensor-based classification of primary and secondary car driver activities using convolutional neural networks
To drive safely, the driver must be aware of the surroundings, pay attention to the road traffic,
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
and be ready to adapt to new circumstances. Most studies on driving safety focus on …
[HTML][HTML] Classification of roads and types of public roads using EOG smart glasses and an algorithm based on machine learning while driving a car
Driving a car is an activity that became necessary for exploration, even when living in the
present world. Research exploring the topic of safety on the roads has therefore become …
present world. Research exploring the topic of safety on the roads has therefore become …
[HTML][HTML] The detection of alcohol intoxication using electrooculography signals from smart glasses and machine learning techniques
The operation of a motor vehicle under the influence of alcohol poses a significant risk to the
safety of the driver, passengers, and other road users. Electrooculographic (EOG) signal …
safety of the driver, passengers, and other road users. Electrooculographic (EOG) signal …
[PDF][PDF] Sieci nski, S
N Piaseczna, R Doniec - Osadcha, O - researchgate.net
As the automotive industry undergoes a phase of rapid transformation driven by
technological advancements, the integration of driving simulators stands out as an important …
technological advancements, the integration of driving simulators stands out as an important …
Deep learning approaches for har of daily living activities using imu sensors in smart glasses
In the latest days, study into the development of intelligent technologies has proven
valuable, contributing to attempts to improve the quality of human existence. Smart glass is …
valuable, contributing to attempts to improve the quality of human existence. Smart glass is …
Evaluation of Intoxication Level with EOG Analysis and Machine Learning: A Study on Driving Simulator*
Driving after consuming alcohol can be dangerous, as it negatively affects judgement,
reaction time, coordination, and decision-making abilities, increasing the risk of accidents …
reaction time, coordination, and decision-making abilities, increasing the risk of accidents …