AIMC Topic: Weather

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Deep Learning Based Infrared Thermal Image Analysis of Complex Pavement Defect Conditions Considering Seasonal Effect.

Sensors (Basel, Switzerland) Dec 1, 2022
Deep learning techniques underpinned by extensive data sources encompassing complex pavement features have proven effective in early pavement damage detection. With pavement features exhibiting temperature variation, inexpensive infra-red imaging tec...
Algorithms Weather Seasons Diagnostic Imaging Deep Learning
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Embedding Weather Simulation in Auto-Labelling Pipelines Improves Vehicle Detection in Adverse Conditions.

Sensors (Basel, Switzerland) Nov 16, 2022
The performance of deep learning-based detection methods has made them an attractive option for robotic perception. However, their training typically requires large volumes of data containing all the various situations the robots may potentially enco...
Humans Neural Networks, Computer Computer Simulation Weather Reproducibility of Results Algorithms
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Adverse Weather Target Detection Algorithm Based on Adaptive Color Levels and Improved YOLOv5.

Sensors (Basel, Switzerland) Nov 7, 2022
With the continuous development of artificial intelligence and computer vision technology, autonomous vehicles have developed rapidly. Although self-driving vehicles have achieved good results in normal environments, driving in adverse weather can st...
Automobile Driving Weather Algorithms Artificial Intelligence
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Research of Maritime Object Detection Method in Foggy Environment Based on Improved Model SRC-YOLO.

Sensors (Basel, Switzerland) Oct 13, 2022
An improved maritime object detection algorithm, SRC-YOLO, based on the YOLOv4-tiny, is proposed in the foggy environment to address the issues of false detection, missed detection, and low detection accuracy in complicated situations. To confirm the...
Weather Records Data Collection Neural Networks, Computer Algorithms
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Daily Estimation of Global Solar Irradiation and Temperatures Using Artificial Neural Networks through the Virtual Weather Station Concept in Castilla and León, Spain.

Sensors (Basel, Switzerland) Oct 13, 2022
In this article, the interpolation of daily data of global solar irradiation, and the maximum, average, and minimum temperatures were measured. These measurements were carried out in the agrometeorological stations belonging to the Agro-climatic Info...
Temperature Weather Neural Networks, Computer Meteorology Spain
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Deep learning for twelve hour precipitation forecasts.

Nature communications Sep 1, 2022
Existing weather forecasting models are based on physics and use supercomputers to evolve the atmosphere into the future. Better physics-based forecasts require improved atmospheric models, which can be difficult to discover and develop, or increasin...
Weather Forecasting Neural Networks, Computer Deep Learning Computer Simulation
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LLDNet: A Lightweight Lane Detection Approach for Autonomous Cars Using Deep Learning.

Sensors (Basel, Switzerland) Jul 26, 2022
Lane detection plays a vital role in making the idea of the autonomous car a reality. Traditional lane detection methods need extensive hand-crafted features and post-processing techniques, which make the models specific feature-oriented, and suscept...
Neural Networks, Computer Image Processing, Computer-Assisted Deep Learning Automobiles Weather Spectrum Analysis, Raman
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Road Traffic Forecast Based on Meteorological Information through Deep Learning Methods.

Sensors (Basel, Switzerland) Jun 14, 2022
Forecasting road flow has strong importance for both allowing authorities to guarantee safety conditions and traffic efficiency, as well as for road users to be able to plan their trips according to space and road occupation. In a summer resort, such...
Weather Meteorology Deep Learning Neural Networks, Computer Forecasting
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Forecasting large-scale circulation regimes using deformable convolutional neural networks and global spatiotemporal climate data.

Scientific reports May 19, 2022
Classifying the state of the atmosphere into a finite number of large-scale circulation regimes is a popular way of investigating teleconnections, the predictability of severe weather events, and climate change. Here, we investigate a supervised mach...
Weather Machine Learning Forecasting Atmosphere Neural Networks, Computer
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ECMWF short-term prediction accuracy improvement by deep learning.

Scientific reports May 12, 2022
This paper aims to describe and evaluate the proposed calibration model based on a neural network for post-processing of two essential meteorological parameters, namely near-surface air temperature (2 m) and 24 h accumulated precipitation. The main i...
Deep Learning Weather Forecasting Meteorology Temperature
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