Snow‐or ice‐covered road detection in winter road surface conditions using deep neural networks

Y Moroto, K Maeda, T Ogawa… - Computer‐Aided Civil …, 2024 - Wiley Online Library
Traffic accidents occur frequently in cold and snow‐or ice‐covered regions due to weather
changes that occur during the winter season. To detect the snow‐or ice‐covered roads in …

An Enhanced Loss Function for Semantic Road Segmentation in Remote Sensing Images

L Nanni, S Brahnam, A Loreggia - IEEE Access, 2024 - ieeexplore.ieee.org
The analysis of road continuity in satellite images is a complex challenge. This is due to the
difficulty in identifying the directional vector of road sections, especially when the satellite …

[PDF][PDF] Leveraging Augmented Reality, Semantic-Segmentation, and VANETs for Enhanced Driver's Safety Assistance.

S Afzal, IU Khan, I Mehmood… - Computers, Materials & …, 2024 - cdn.techscience.cn
Overtaking is a crucial maneuver in road transportation that requires a clear view of the road
ahead. However, limited visibility of ahead vehicles can often make it challenging for drivers …

Multi--objective model for architecture optimization and training of radial basis function neural networks

T Elansari, M Ouanan, H Bourray - Journal of Mathematical …, 2024 - jmm.guilan.ac.ir
Radial Basis Function Neural Network (RBFNN) is a type of artificial neural networks used
for supervised learning. They rely on radial basis functions (RBFs), nonlinear mathematical …

PyramidNet: Image segmentation model for Autonomous vehicle for Indian condition

P Chakraborty… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
This paper introduces PyramidNet, a novel semantic segmentation model tailored for the
complexities of Indian driving conditions in autonomous vehicles. Existing segmentation …