Computer vision for road imaging and pothole detection: a state-of-the-art review of systems and algorithms
Computer vision algorithms have been utilized for 3-D road imaging and pothole detection
for over two decades. Nonetheless, there is a lack of systematic survey articles on state-of …
for over two decades. Nonetheless, there is a lack of systematic survey articles on state-of …
[HTML][HTML] A Review of Vision-Based Pothole Detection Methods Using Computer Vision and Machine Learning
Y Safyari, M Mahdianpari, H Shiri - Sensors, 2024 - mdpi.com
Potholes and other road surface damages pose significant risks to vehicles and traffic safety.
The current methods of in situ visual inspection for potholes or cracks are inefficient, costly …
The current methods of in situ visual inspection for potholes or cracks are inefficient, costly …
A novel road maintenance prioritisation system based on computer vision and crowdsourced reporting
The maintenance of critical infrastructure is a costly necessity that developing countries often
struggle to deliver timely repairs. The transport system acts as the arteries of any economy in …
struggle to deliver timely repairs. The transport system acts as the arteries of any economy in …
Classification of Potholes Based on Surface Area Using Pre-Trained Models of Convolutional Neural Network
CF Ahmad, A Cheema, W Qayyum, R Ehtisham… - arXiv preprint arXiv …, 2023 - arxiv.org
Potholes are fatal and can cause severe damage to vehicles as well as can cause deadly
accidents. In South Asian countries, pavement distresses are the primary cause due to poor …
accidents. In South Asian countries, pavement distresses are the primary cause due to poor …
YOLO-RDD: A road defect detection algorithm based on YOLO
J Pei, X Wu, X Liu - 2024 27th International Conference on …, 2024 - ieeexplore.ieee.org
Road maintenance is an indispensable part of the transportation system, ensuring road
safety and maximizing road efficiency. The rapid and accurate acquisition of road surface …
safety and maximizing road efficiency. The rapid and accurate acquisition of road surface …
Automatic recognition of road damage based on lightweight attentional convolutional neural network
An efficient road damage detection system can reduce the risk of road defects to motorists
and road maintenance costs to traffic management authorities, for which a lightweight end-to …
and road maintenance costs to traffic management authorities, for which a lightweight end-to …
Real-Time Road Damage Detection and Infrastructure Evaluation Leveraging Unmanned Aerial Vehicles and Tiny Machine Learning
MW Khan, MS Obaidat, K Mahmood… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Road damage detection (RDD) through computer vision and deep learning techniques can
ensure the safety of vehicles and humans on the roads. Integrating unmanned aerial …
ensure the safety of vehicles and humans on the roads. Integrating unmanned aerial …
Recent Estimation Techniques of Vehicle-Road-Pedestrian States for Traffic Safety: Comprehensive Review and Future Perspectives
Accurate and real-time acquisition of vehicular system dynamic states, road surface
conditions, and motion states of surrounding participants is crucial for the safety, passenger …
conditions, and motion states of surrounding participants is crucial for the safety, passenger …
Road Pothole Detection Based on Crowdsourced Data and Extended Mask R-CNN
L Li, J Liu, J Xing, Z Liu, K Lin… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Road pothole detection is significant for road maintenance which has been widely solved
based on computer vision models in recent years. However, the accuracy of the pothole …
based on computer vision models in recent years. However, the accuracy of the pothole …
Automatic detection of potholes using VGG-16 pre-trained network and Convolutional Neural Network
S Swain, AK Tripathy - Heliyon, 2024 - cell.com
A self-driving car is necessary to implement traffic intelligence because it can vastly enhance
both the safety of driving and the comfort of the driver by adjusting to the circumstances of …
both the safety of driving and the comfort of the driver by adjusting to the circumstances of …