Prof. Samer Dessouky Profile

Prof. Samer Dessouky

at Univ of Texas at San Antonio

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 13 June 2023 Presentation + Paper

Estimation of road surface quality using real-time video analysis

Mukul Shirvaikar, Mena Souliman, Samer Dessouky

Proceedings Volume 12528, 1252806 (2023) https://doi.org/10.1117/12.2664895

KEYWORDS: Roads, Video, Sensors, Vibration, Accelerometers, Gyroscopes, Cameras, Transportation, Image processing, Global Positioning System

Read Abstract +

An accurate and consistent survey of road surface distresses is critical for pavement rehabilitation design and management, allowing public managers to maximize the value of constantly limited budgets for road improvements and maintenance. Manual pavement distress surveys are time-consuming, costly, and dangerous on heavily traveled highways. Automated surveys using video recording hardware devices have been developed and improved over the years, to solve the problems associated with manual surveys. However, reliable distress detection software and data analysis remain difficult. With the advances in smartphone technology, it is now possible to use mounted devices in the field effectively for such applications. A smartphone application was previously developed to utilize on-board accelerometer, gyroscope, and GPS sensors, along with software derived signals from the same sensors, to sample vibrational and geolocation datasets to capture pavement distresses such as potholes when mounted in a standardized configuration in a vehicle. This study examines the possibility of using real-time video processing for pavement surface quality detection. Video captured from the mounted camera is analyzed to estimate road conditions and correlated with sensor data ground truth to corroborate the efficacy of the technique. The findings of this study could indeed aid in developing more effective uses of specialized software for pavement condition classification, to assist decision makers in selecting solutions based on budget and desired survey accuracy, and to evaluate how existing devices will perform when used with the developed algorithm.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years