Design of pothole detection system based on digital image correlation using Kinect sensor

anggoro, wahyu; Nasution, Aulia; Rosohadi, Iman R.

doi:10.1117/12.2504739

Cited by 3 publications

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This approach came with promising results, however it involved high calculation time and employ costly equipment's. W Angorro and A Nasution proposed a model on Design of pothole detection system based on digital image correlation using Kinect sensor [10]. This complex system utilized a Kinect sensor and a camera.…”

Section: International Journal Of Engineering Research and Technology (Ijert)mentioning

confidence: 99%

Automated Sensor based Pothole Detection System for Preventing Unfortunate Causality

Suhail¹

2020

IJERT

View full text Add to dashboard Cite

Roadways have gained immense popularity and preference worldwide among other means of transportation. Orderly and well maintained roads provide vital contribution to economic growth. They pervade areas and helps to simulate economic and social development. In developing countries like India, maintenance of roads is an emerging concern as it creates disturbances to smooth travel and cause damage to vehicles. The key to monitor road conditions is by detecting road irreg-ularities including potholes, humps, roughness levels etc. These irregularities have major impact on traffic safety and driving comfort to passengers. This study proposes a cost effective and power efficient solution for pothole detection. Here, a vision based approach is utilized to form an advanced piezoelectric sensor system in an unstructured habitat with the aim to prefect road surface, discover potholes and predict their extremity. Further, GPS determines the area of the potholes at local server.

show abstract

Section: International Journal Of Engineering Research and Technology (Ijert)mentioning

confidence: 99%

Automated Sensor based Pothole Detection System for Preventing Unfortunate Causality

Suhail¹

2020

IJERT

View full text Add to dashboard Cite

show abstract

P3De - A Novel Pothole Detection Algorithm using 3D Depth Estimation

Das¹,

Kale²

2021

2021 2nd International Conference for Emerging Technology (INCET)

View full text Add to dashboard Cite

A Novel Road Maintenance Prioritisation System Based on Computer Vision and Crowdsourced Reporting

Salcedo

Jaber

Carrión

2022

JSAN

View full text Add to dashboard Cite

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 development, and the formation of potholes on roads can lead to injuries and the loss of lives. Recently, several countries have enabled pothole reporting platforms for their citizens, so that repair work data can be centralised and visible for everyone. Nevertheless, many of these platforms have been interrupted because of the rapid growth of requests made by users. Not only have these platforms failed to filter duplicate or fake reports, but they have also failed to classify their severity, albeit that this information would be key in prioritising repair work and improving the safety of roads. In this work, we aimed to develop a prioritisation system that combines deep learning models and traditional computer vision techniques to automate the analysis of road irregularities reported by citizens. The system consists of three main components. First, we propose a processing pipeline that segments road sections of repair requests with a UNet-based model that integrates a pretrained Resnet34 as the encoder. Second, we assessed the performance of two object detection architectures—EfficientDet and YOLOv5—in the task of road damage localisation and classification. Two public datasets, the Indian Driving Dataset (IDD) and the Road Damage Detection Dataset (RDD2020), were preprocessed and augmented to train and evaluate our segmentation and damage detection models. Third, we applied feature extraction and feature matching to find possible duplicated reports. The combination of these three approaches allowed us to cluster reports according to their location and severity using clustering techniques. The results showed that this approach is a promising direction for authorities to leverage limited road maintenance resources in an impactful and effective way.

show abstract

Design of pothole detection system based on digital image correlation using Kinect sensor

Cited by 3 publications

References 8 publications

Automated Sensor based Pothole Detection System for Preventing Unfortunate Causality

Automated Sensor based Pothole Detection System for Preventing Unfortunate Causality

P3De - A Novel Pothole Detection Algorithm using 3D Depth Estimation

A Novel Road Maintenance Prioritisation System Based on Computer Vision and Crowdsourced Reporting

Contact Info

Product

Resources

About