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] Road damage detection using the hunger games search with Elman neural network on high-resolution remote sensing images
M Al Duhayyim, AA Malibari, A Alharbi, K Afef, A Yafoz… - Remote Sensing, 2022 - mdpi.com
Roads can be significant traffic lifelines that can be damaged by collapsed tree branches,
landslide rubble, and buildings debris. Thus, road damage detection and evaluation by …
landslide rubble, and buildings debris. Thus, road damage detection and evaluation by …
Scale-adaptive pothole detection and tracking from 3-d road point clouds
R Wu, J Fan, L Guo, L Qiao, MUM Bhutta… - … on Imaging Systems …, 2021 - ieeexplore.ieee.org
3-D road surface modeling has become an essential part of modern algorithms for road
pothole detection when 3-D road point clouds are available. This paper introduces a scale …
pothole detection when 3-D road point clouds are available. This paper introduces a scale …
Computer-aided road inspection: Systems and algorithms
Road damage is an inconvenience and a safety hazard, severely affecting vehicle condition,
driving comfort, and traffic safety. The traditional manual visual road inspection process is …
driving comfort, and traffic safety. The traditional manual visual road inspection process is …
Digital transformation for intelligent road condition assessment
S Guo, Y Bai, MJ Bocus, R Fan - Intelligent Systems in Digital …, 2022 - Springer
Recently, governments have been resorting to cutting-edge artificial intelligence
technologies to facilitate the digital transformation of smart cities. Remarkable progress has …
technologies to facilitate the digital transformation of smart cities. Remarkable progress has …
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 …
Analysis of Different Deep Learning Algorithms for Road Surface Damage Detection
Y Gupta, F Chauhan, K Singla - 2023 International Conference …, 2023 - ieeexplore.ieee.org
Numerous asphalt pavement faults are the major contributor to auto accidents, necessitating
corrective action because they put people in grave danger. As a result, there are many …
corrective action because they put people in grave danger. As a result, there are many …
An Object Detection Framework and Deep Learning Models Used to Detect the Potholes on the Streets
Potholes are a significant cause of road accidents and car damage. Poor construction and
heavy rainfalls result in substantial damage to the roadways. However, detecting potholes …
heavy rainfalls result in substantial damage to the roadways. However, detecting potholes …
Lightweight Road Pothole Detection Network Based on FCOS
S Fan, H Cai, C Du - 2023 2nd International Conference on …, 2023 - ieeexplore.ieee.org
To address the problem of low efficiency and high danger of manual pothole detection on
roads in road maintenance work, we propose a lightweight pothole detection algorithm …
roads in road maintenance work, we propose a lightweight pothole detection algorithm …
Investigation of the possible applications of drone-based data acquisition for the development of road information systems
GB Prince - 2023 - libdoc.fh-zwickau.de
Drones are becoming increasingly popular as a result of constantly advancing technological
developments in drone technology. Thanks to more powerful motors and longer battery life …
developments in drone technology. Thanks to more powerful motors and longer battery life …