A Real-Time Pothole Detection Approach for Intelligent Transportation System

Wang, Hsiu Wen; Chen, Chi‐Hua; Cheng, Ding Yuan; Lin, Chun‐Yuan; Lo, Chi-Chun

doi:10.1155/2015/869627

Cited by 71 publications

(45 citation statements)

References 8 publications

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“…Researcher [72] further processed Z-acc by simple filters and Gaussian model-based algorithm to detect the severity of potholes and differentiate humps and potholes. A study in [73] combined Z-THRESH and G-ZERO and adopted a spatial interpolation method to obtain precisely pothole locations. Fuzzy logic was used to detect and recognise the speed bumps from vehicle speed and Z-acc variance [74].…”

Section: Signal Processingmentioning

confidence: 99%

Response-based methods to measure road surface irregularity: a state-of-the-art review

Nguyen

Lechner

Wong

2019

Eur. Transp. Res. Rev.

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Purpose: With the development of smart technologies, Internet of Things and inexpensive onboard sensors, many response-based methods to evaluate road surface conditions have emerged in the recent decade. Various techniques and systems have been developed to measure road profiles and detect road anomalies for multiple purposes such as expedient maintenance of pavements and adaptive control of vehicle dynamics to improve ride comfort and ride handling. A holistic review of studies into modern response-based techniques for road pavement applications is found to be lacking. Herein, the focus of this article is threefold: to provide an overview of the stateof-the-art response-based methods, to highlight key differences between methods and thereby to propose key focus areas for future research. Methods: Available articles regarding response-based methods to measure road surface condition were collected mainly from "Scopus" database and partially from "Google Scholar". The search period is limited to the recent 15 years. Among the 130 reviewed documents, 37% are for road profile reconstruction, 39% for pothole detection and the remaining 24% for roughness index estimation. Results: The results show that machine-learning techniques/data-driven methods have been used intensively with promising results but the disadvantages on data dependence have limited its application in some instances as compared to analytical/data processing methods. Recent algorithms to reconstruct/estimate road profiles are based mainly on passive suspension and quarter-vehicle-model, utilise fewer key parameters, being independent on speed variation and less computation for real-time/online applications. On the other hand, algorithms for pothole detection and road roughness index estimation are increasingly focusing on GPS accuracy, data aggregation and crowdsourcing platform for large-scale application. However, a novel and comprehensive system that is comparable to existing International Roughness Index and conventional Pavement Management System is still lacking.

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Section: Signal Processingmentioning

confidence: 99%

Response-based methods to measure road surface irregularity: a state-of-the-art review

Nguyen

Lechner

Wong

2019

Eur. Transp. Res. Rev.

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“…In research communities, there are two popular alternatives for pothole detection, vibration-based alternatives and image-based alternatives. The vibration-based alternatives as in [18][19][20][21] usually involve using an accelerometer (together with a gyroscope in [20]) to measure real-time vibration of the car; when salient vibration is detected, it is implied that the car is going through a pothole; size and severity of the experienced pothole can also be computed by further signal analysis. Vibration-based solutions are popular for the task of pothole detection.…”

Section: Proof-of-conceptmentioning

confidence: 99%

An Automatic Road Distress Visual Inspection System Using an Onboard In-Car Camera

Siriborvornratanakul

2018

Advances in Multimedia

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Speaking of road maintenance, the preventive maintenance strategy is preferable for most governments. Many governments possess special vehicles that can accurately detect and classify many types of road distresses. By running these vehicles frequently, small road distresses will be detected before growing into the big ones. However, because running these huge and expensive vehicles is not easy, in practical, it usually ends up with infrequent road inspection regardless of having automatic road inspection vehicles. In this paper, we focus on investigating and developing an automatic and nondestructive visual inspection system whose setup and usage are designed by considering the context of drivers, driving styles, and road conditions in Bangkok, the capital city of Thailand. Our proposal includes a workflow diagram of a vision-based road inspection system that is capable of detecting, classifying, tracking, measuring, and pricing road distresses. As for the proof-of-concept, our current system focuses on detecting one specific type of road distresses called pothole, using only one onboard in-car camera. Experimental results reveal that the context of Bangkok introduces many nontrivial challenges for vision-based analysis systems where maintaining both accuracy and ease of use altogether may not be easy.

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“…The threshold value is obtained from the minimum Z-axis of the maximum Z-Axis in each experiment. The formula used to calculate the selected Z-axis value is as follows [7]:…”

Section: Z-diff Algorithmmentioning

confidence: 99%

Road Surface Automatic Identification System With Combination Pothole Detection Method and Z-Diff Method On Android Smartphone

Asmiatun¹,

Wakhidah²,

Putri³

2018

Proceedings of the Joint Workshop KO2PI and the 1st International Conference on Advance &Amp; Scientific Innovation

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The road condition in Indonesia especially in Semarang is often experiencing damage in a rainy season. If the condition is not fixed immediately, it can inflict harms to the road user such as raising the fuel usage and the vehicle treatment and the worst harm is threatening the safety traffic. The solution of these problems is providing an up-to-date information about the road surface condition so that the local institution can do a road improvement immediately. This research discusses the data collection of the road condition using accelerometer censor in a smartphone. The censor accelerometer will record data based on the tool movement. To record the data from the censor accelerometer needs a method. This research develops a system which uses a system of the censor accelerometer to identify the road surface condition using pothole detection method and Z-Diff. The two method combinations result 74 % of accuracy level, and it means that the system has high enough accuracy level in identifying a damage road or the one needs improvement. With the availability of the damage road location the work of transportation department of Semarang is hoped to make an immediate improvement to fix the road condition.

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A Real-Time Pothole Detection Approach for Intelligent Transportation System

Cited by 71 publications

References 8 publications

Response-based methods to measure road surface irregularity: a state-of-the-art review

Response-based methods to measure road surface irregularity: a state-of-the-art review

An Automatic Road Distress Visual Inspection System Using an Onboard In-Car Camera

Road Surface Automatic Identification System With Combination Pothole Detection Method and Z-Diff Method On Android Smartphone

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