[HTML][HTML] Deep learning with attention mechanisms for road weather detection

M Samo, JM Mafeni Mase, G Figueredo - Sensors, 2023 - mdpi.com
There is great interest in automatically detecting road weather and understanding its impacts
on the overall safety of the transport network. This can, for example, support road condition …

[HTML][HTML] Self-supervised and semi-supervised learning for road condition estimation from distributed road-side cameras

F Garcea, G Blanco, A Croci, F Lamberti, R Mamone… - Scientific reports, 2022 - nature.com
Monitoring road conditions, eg, water build-up due to intense rainfall, plays a fundamental
role in ensuring road safety while increasing resilience to the effects of climate change …

[HTML][HTML] A Visual-Based Approach for Driver's Environment Perception and Quantification in Different Weather Conditions

L Luo, M Liu, J Mei, Y Chen, L Bi - Applied Sciences, 2023 - mdpi.com
The decision-making behavior of drivers during the driving process is influenced by various
factors, including road conditions, traffic situations, weather conditions, and so on. However …

Looking Deeper into Images for Autonomous Road Weather Detection

M Samo, JMM MASE, G Figueredo - 2022 - preprints.org
There is great interest in automatically detecting road weather and understanding its impacts
on the overall safety of the transport network. This can, for example, support road condition …

[PDF][PDF] MULTI-CLASS WEATHER CLASSIFICATION FROM SINGLE IMAGES WITH CONVOLUTIONAL NEURAL NETWORKS ON EMBEDDED HARDWARE

T Bravenec - dspace.vut.cz
The paper is focused on creating a lightweight machine learning solution for classification of
weather conditions from input images, that can process the input data in real time on …