Hybrid Deep Learning Framework for Road Surface Classification: Integrating Autoencoder-Based Denoising and CNN-Based Classification

This study uses a hybrid deep learning technique to classify asphalt, pavement, and unpaved roads. In real-world circumstances, image data noise can damage image categorization algorithms. This issue can be addressed by a deep neural network (DNN)-based classification system that uses advanced denoi...

Full description

Saved in:

Bibliographic Details
Published in:	2025 International Conference on Intelligent Control, Computing and Communications (IC3) pp. 487 - 492
Main Authors:	Kumar, Ajay, Tiwari, Raj Gaurang, Trivedi, Naresh Kumar
Format:	Conference Proceeding
Language:	English
Published:	IEEE 13.02.2025
Subjects:	Accuracy Autoencoders Classification algorithms Computer architecture Convolutional Denoising Autoencoder Convolutional neural networks Deep learning Deep Neural Networks Denoising Autoencoder Hybrid Deep Learning Image Reconstruction Noise Noise measurement Noise reduction Noise Reduction Techniques Noisy Image Classification Road Surface Classification Roads
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!