Traffic Sign Classification using Deep Learning Comparative Study
A Hamza, S Nawal - Procedia Computer Science, 2024 - Elsevier
In recent years, the advancement of deep learning technologies has significantly impacted
various domains and the field of transportation is no exception. As the demand for robust …
various domains and the field of transportation is no exception. As the demand for robust …
Modeling the Effect of Vegetation Coverage on Unmanned Aerial Vehicles-Based Object Detection: A Study in the Minefield Environment
J Baur, K Dewey, G Steinberg, FO Nitsche - Remote Sensing, 2024 - mdpi.com
An important consideration for UAV-based (unmanned aerial vehicle) object detection in the
natural environment is vegetation height and foliar cover, which can visually obscure the …
natural environment is vegetation height and foliar cover, which can visually obscure the …
Multi-Scale Attention Feature Enhancement Network for Single Image Dehazing
W Dong, C Wang, H Sun, Y Teng, X Xu - Sensors, 2023 - mdpi.com
Aiming to solve the problem of color distortion and loss of detail information in most
dehazing algorithms, an end-to-end image dehazing network based on multi-scale feature …
dehazing algorithms, an end-to-end image dehazing network based on multi-scale feature …
Traffic Sign Detection for Real-World Application Using Hybrid Deep Belief Network Classification
K Aravinda, BS Kumar, BP Kavin… - … Geospatial Practices in …, 2024 - igi-global.com
By integrating automated driving systems (ADS) and AI-driven advanced driver assistance
systems (ADAS) like the traffic sign detection (TSD) technology, the automotive sector can …
systems (ADAS) like the traffic sign detection (TSD) technology, the automotive sector can …