Pothole detection using CNN and YOLO v7 algorithm

ESTK Reddy, V Rajaram - 2022 6th International Conference …, 2022 - ieeexplore.ieee.org
Various factors, which include excessive speed, driver distraction, failure to wear safety
equipment, and road hazards such as potholes, account for the majority of fatal and injury …

[HTML][HTML] Augmenting roadway safety with machine learning and deep learning: Pothole detection and dimension estimation using in-vehicle technologies

C Ruseruka, J Mwakalonge, G Comert, S Siuhi… - Machine Learning with …, 2024 - Elsevier
Detection and estimation of pothole dimensions is an essential step in road maintenance.
Aging, heavy rainfall, traffic, and weak underlying layers may cause pavement potholes …

An upgraded-yolo with object augmentation: Mini-uav detection under low-visibility conditions by improving deep neural networks

T Delleji, F Slimeni, H Fekih, A Jarray… - Operations Research …, 2022 - Springer
Over the last few years, the manufacturing technology of mini-unmanned aerial vehicles
(mini-UAVs), also known as mini-drones, has been experiencing a significant evolution …

Pothole segmentation and area estimation with thermal imaging using deep neural networks and unmanned aerial vehicles

J Meier, E Welborn, S Diamantas - Machine Vision and Applications, 2025 - Springer
In this research we tackle a problem common in transportation and autonomous vehicles. To
prevent vehicle damage and road accidents efficiently detecting and cataloguing potholes is …

Pothole detection and dimension estimation by deep learning

SS Ch, T Tallam - IOP Conference Series: Earth and …, 2024 - iopscience.iop.org
Maintenance of roads is a crucial part after the construction of roads in order to improve its
design life. Without proper maintenance, deterioration occurs more rapidly out of which …

Revolutionizing Road Damage Assessment with YOLOv8-based Deep Learning and Computer Vision Techniques

AE Joseph, D Ashraf, RA Abraham… - … on Trends in …, 2024 - ieeexplore.ieee.org
Road surface damage detection and classification are fundamental areas of study, crucial
for maintaining safe and efficient transportation infrastructure. Existing solutions have …

AI-Driven Approach for Automated Real-Time Pothole Detection, Localization, and Area Estimation

Y Matouq, D Manasreh… - Transportation Research …, 2024 - journals.sagepub.com
Given the potential hazards and risks that potholes pose to road users, this study introduces
an image-based system that utilizes a combination of a camera and GPS for real-time …

Pothole Segmentation and Area Estimation with Deep Neural Networks and Unmanned Aerial Vehicles

E Welborn, S Diamantas - International Symposium on Visual Computing, 2023 - Springer
In this research, we explore the problems of pothole detection, segmentation, and area
estimation using deep neural networks and unmanned aerial vehicles (drones). We start by …

Detección de baches y su severidad usando el Video VBOX Lite y teléfonos inteligentes

Y García-Ramírez, F García… - Ciencia, Ingenierías y …, 2022 - revistas.intec.edu.do
Los baches son un problema común en pavimentos deteriorados. Estos desniveles
disminuyen la comodidad de conducción y pueden llegar a causar siniestros viales. El …

Pothole Detection and Prediction Using Deep Learning with CNN and YOLOv8

D Swami, M Jangid - … Conference on Soft Computing: Theories and …, 2023 - Springer
Potholes cause great danger in driving and to the lives of passengers. Therefore, it is
essential for the accurate prediction and detection of potholes and it also saves the lives of …