@inproceedings{152c7f5f27ef43d29a1c8e57ed151e22,
title = "Riprap Stockpile Size and Shape Analyses Using Computer Vision",
abstract = "Riprap rocks and large-sized aggregates are being used extensively in geotechnical and hydraulic engineering applications. Knowing the particle size and morphological/shape properties ensures the reliable and sustainable use of aggregate materials at both quarry production lines and construction sites. Traditional methods for assessing aggregates geometric properties involve subjective visual inspection and time-consuming hand measurements, while the use of computer vision analysis techniques is restricted primarily due to the unwieldiness of large-sized aggregates. This paper presents the use of a computer vision system for in-place size and shape evaluation of large aggregates in a stockpile using images of stockpiles conveniently collected using smartphone cameras. The automated image analysis software is comprised of an image segmentation kernel and a morphological analysis module. Comprehensive analyses are conducted on a sample stockpile with multiple view inspections. Based on the findings of this study, the stockpile aggregate image analysis program has great potential as an efficient and innovative application for field-scale and in-place evaluations of aggregate materials.",
keywords = "Aggregate stockpile, Computer vision, Deep learning, Image segmentation, Morphological analyses, Object detection, Particle size and shape",
author = "Jiayi Luo and Haohang Huang and Issam Qamhia and Hart, {John M.} and Erol Tutumluer",
note = "Funding Information: This publication is based on the results of ICT-R27-182 project: ?Size and Shape Determination of Riprap and Large-Sized Aggregates Using Field Imaging? [16]. ICT-R27-182 was conducted in cooperation with the Illinois Center for Transportation; the Illinois Department of Transportation, Office of Program Development; the US Department of Transportation, Federal Highway Administration; and the Computer Vision and Robotics Laboratory, Beckman Institute of Advanced Science and Technology. The authors would like to acknowledge the members of IDOT Technical Review Panel (TRP) for their useful advice at different stages of this research. Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 4th International Conference on Transportation Geotechnics, ICTG 2021 ; Conference date: 23-05-2021 Through 26-05-2021",
year = "2022",
doi = "10.1007/978-3-030-77234-5_74",
language = "English (US)",
isbn = "9783030772338",
series = "Lecture Notes in Civil Engineering",
publisher = "Springer",
pages = "903--913",
editor = "Erol Tutumluer and Soheil Nazarian and Imad Al-Qadi and Qamhia, {Issam I. A.}",
booktitle = "Advances in Transportation Geotechnics IV - Proceedings of the 4th International Conference on Transportation Geotechnics",
address = "Germany",
}