I-RIPRAP 3D Image Analysis Software: User Manual

Huang, Haohang; Luo, Jiayi; Ding, Kelin; Tutumluer, Erol; Hart, John; Qamhia, Issam

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https://hdl.handle.net/2142/118102 Copy

Description

Title

I-RIPRAP 3D Image Analysis Software: User Manual

Author(s)

• Huang, Haohang
• Luo, Jiayi
• Ding, Kelin
• Tutumluer, Erol
• Hart, John
• Qamhia, Issam

Issue Date

2023-06

Keyword(s)

• Riprap
• Aggregate Stockpile
• Field Imaging
• Computer Vision
• Deep Learning
• 3D Reconstruction
• 3D Segmentation
• Size and Shape Analyses

Abstract

Riprap rock and aggregates are commonly used in various engineering applications such as structural, transportation, geotechnical, and hydraulic engineering. To ensure the quality of the aggregate materials selected for these applications, it is important to determine their morphological properties such as size and shape. There have been many imaging approaches developed to characterize the size and shape of individual aggregates, but obtaining 3D characterization of aggregates in stockpiles at production or construction sites can be a challenging task. This research study introduces a new approach based on deep learning techniques that combines three developed research components: field 3D reconstruction procedures, 3D stockpiles instance segmentation, and 3D shape completion. The approach is designed to reconstruct aggregate stockpiles from multiple images, segment the stockpile into individual instances, and predict the unseen sides of each instance (particle) based on the partially visible shapes. The approach was validated using ground-truth measurements and demonstrated satisfactory algorithm performance in capturing and predicting the unseen sides of aggregates. For better user experience, the integrated approach has been implemented into a software application named “I-RIPRAP 3D,” with a user-friendly graphical user interface (GUI). This stockpile aggregate analysis approach is envisioned to provide efficient field evaluation of aggregate stockpiles by offering convenient and reliable solutions for on-site quality assurance and quality control tasks of riprap rock and aggregate stockpiles. The following document provides information for users of the I-RIPRAP 3D software to make the best use of the software’s capabilities.

Publisher

Illinois Center for Transportation/Illinois Department of Transportation

Has Part

• ISSN: 0197-9191
• https://doi.org/10.36501/0197-9191/23-008

Series/Report Name or Number

FHWA-ICT-23-007

Type of Resource

text

Language

en

Sponsor(s)/Grant Number(s)

IDOT-R27-214

Copyright and License Information

No restrictions. This document is available through the National Technical Information Service, Springfield, VA 22161.

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