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 …
Region of interest constrained negative obstacle detection and tracking with a stereo camera
T Sun, W Pan, Y Wang, Y Liu - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Road object detection has been increasingly considered an essential task in automotive
applications. Road objects are divided into two groups: i) above-ground objects such as …
applications. Road objects are divided into two groups: i) above-ground objects such as …
A review on negative road anomaly detection methods
The main limitation to obstacle avoidance nowadays has been negative road anomalies
which is the term we used to refer to potholes and cracks due to their negative drop from the …
which is the term we used to refer to potholes and cracks due to their negative drop from the …
Classification of Potholes Based on Surface Area Using Pre-Trained Models of Convolutional Neural Network
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 …
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 …
Automatic pothole classification and segmentation using android smartphone sensors and camera images with machine learning techniques
S Thiruppathiraj, U Kumar… - 2020 IEEE REGION 10 …, 2020 - ieeexplore.ieee.org
In most developing countries, a lag in maintaining the existing road infrastructure often leads
to development of potholes, cracks, etc. Such irregularities in maintenance are one of the …
to development of potholes, cracks, etc. Such irregularities in maintenance are one of the …
Watershed-based real-time image processing for multi-potholes detection on asphalt road
This paper presents a real-time watershed-based algorithm for detecting multiple potholes
on asphalt road surface. The algorithm uses (i) inverted binary in combination with Otsu …
on asphalt road surface. The algorithm uses (i) inverted binary in combination with Otsu …
Cooperative saliency-based obstacle detection and ar rendering for increased situational awareness
Autonomous vehicles are expected to operate safely in real-life road conditions in the next
years. Nevertheless, unanticipated events such as the existence of unexpected objects in …
years. Nevertheless, unanticipated events such as the existence of unexpected objects in …
Cooperative Saliency-Based Pothole Detection and AR Rendering for Increased Situational Awareness
Autonomous vehicles are expected to operate safely in real-life road conditions in the next
years. Nevertheless, unanticipated events such as the existence of unexpected objects in …
years. Nevertheless, unanticipated events such as the existence of unexpected objects in …