I-Corps: Advanced 3D Software for Ground Penetrating Radars

I-Corps:用于探地雷达的先进 3D 软件

基本信息

项目摘要

This projects uses advanced image processing algorithms and 3D visualization techniques to support new methods of nondestructive testing as well as other sensing applications.Ground Penetrating Radar (GPR) is an efficient nondestructive testing (NDT) tool, currently used for many applications such as civil infrastructure inspection, mine detection, buried explosive hazards detection, geophysical sensing, and utilities detection. While there are commercially available GPR technologies for data collection, typically, they do not enable three-dimensional (3D) data reconstruction and visualization. Current software for processing GPR data offers two-dimensional (2D) data interpretation, making it difficult to interpret and visualize the condition of inspected/detected objects. This project will compliment already existing GPR technology for data analysis and visualization by integrating 3D visualization. With 3D visualization, it is possible to generate accurate interpretations of an area being inspected, without spending extra money and time to train personnel to interpret 2D data. The anticipated customers of the proposed innovation are, but not limited to, GPR software developers, geophysical sensing users, bridge engineers/contractors, and civil infrastructure inspectors. The objective of this NSF I-Corps project is to explore the commercial viability of the 3D model software which can be used to efficiently analyze various GPR data types. Enhanced GPR data analysis software, based on advanced image processing algorithms and 3D visualization, will provide new methodologies to nondestructive testing and other uses of GPR. The successful commercialization of this project will provide new NDT software-assisted sensing and inspection systems that will be comprehensive, rapid, and low cost for geophysical sensing, civil infrastructure inspection and evaluation as well as other potential applications. During the I-Corps program, this I-Corps team will focus on: (1) finalizing the 3D model software to fit with each type of GPR; (2) comprehensive testing of the software for various GPR types; 3) interviewing at least 100 customers to identify the market need; and(4) developing commercialization plans for the proposed software.
该项目采用先进的图像处理算法和3D可视化技术,支持无损检测的新方法以及其他传感应用。探地雷达(GPR)是一种高效的无损检测(NDT)工具,目前用于民用基础设施检查、地雷探测、埋地爆炸危险探测、地球物理传感和公用设施探测等许多应用。虽然存在用于数据收集的商业可用的GPR技术,但是通常,它们不能够实现三维(3D)数据重建和可视化。目前用于处理GPR数据的软件提供二维(2D)数据解释,使得难以解释和可视化被检查/检测对象的状况。该项目将通过集成3D可视化来补充现有的GPR数据分析和可视化技术。通过3D可视化,可以对被检查区域进行准确的解释,而无需花费额外的金钱和时间来培训人员解释2D数据。拟议创新的预期客户包括但不限于GPR软件开发人员、地球物理传感用户、桥梁工程师/承包商和民用基础设施检查员。这个NSF I-Corps项目的目标是探索3D模型软件的商业可行性,该软件可用于有效地分析各种GPR数据类型。基于先进的图像处理算法和三维可视化技术的增强型探地雷达数据分析软件,将为探地雷达的无损检测和其他应用提供新的方法。该项目的成功商业化将为地球物理传感、民用基础设施检查和评估以及其他潜在应用提供全面、快速、低成本的新型NDT软件辅助传感和检测系统。在I-Corps项目期间,I-Corps团队将专注于:(1)完成3D模型软件,以适应每种类型的GPR;(2)对各种GPR类型的软件进行全面测试;(3)采访至少100名客户,以确定市场需求;以及(4)为拟议的软件制定商业化计划。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Automated Rebar Detection for Ground-Penetrating Radar
  • DOI:
    10.1007/978-3-319-50835-1_73
  • 发表时间:
    2016-12
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Spencer Gibb;H. La
  • 通讯作者:
    Spencer Gibb;H. La
Autonomous Robotic System using Non-Destructive Evaluation methods for Bridge Deck Inspection
使用无损评估方法进行桥面检查的自主机器人系统
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Hung La其他文献

Optimized prediction of tunnel stability using advanced machine learning and an ANN-based analytical expression
利用先进的机器学习和基于人工神经网络的解析表达式对隧道稳定性进行优化预测
Spatially temporally distributed informative path planning for multi-robot systems
多机器人系统的时空分布信息路径规划
  • DOI:
    10.48550/arxiv.2403.16489
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Binh T. Nguyen;Linh Nguyen;Truong X. Nghiem;Hung La;Jose Baca;Pablo Rangel;Miguel Cid Montoya;Thang Nguyen
  • 通讯作者:
    Thang Nguyen
Hiding in Plain Sight: Differential Privacy Noise Exploitation for Evasion-resilient Localized Poisoning Attacks in Multiagent Reinforcement Learning
隐藏在众目睽睽之下:多智能体强化学习中用于规避弹性局部中毒攻击的差分隐私噪声利用
  • DOI:
    10.48550/arxiv.2307.00268
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Md Tamjid Hossain;Hung La
  • 通讯作者:
    Hung La
Hybrid machine learning for predicting hydration heat in pipe-cooled mass concrete structures
用于预测水管冷却大体积混凝土结构水化热的混合机器学习
  • DOI:
    10.1016/j.conbuildmat.2025.141558
  • 发表时间:
    2025-06-27
  • 期刊:
  • 影响因子:
    8.000
  • 作者:
    Mien Van Tran;Hung La;Tan Nguyen
  • 通讯作者:
    Tan Nguyen
RAMPART: Reinforcing Autonomous Multi-agent Protection through Adversarial Resistance in Transportation
RAMPART:通过运输中的对抗性阻力加强自主多主体保护

Hung La的其他文献

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{{ truncateString('Hung La', 18)}}的其他基金

PFI-TT: Autonomous Robotic Systems for Bridge Inspection and Evaluation
PFI-TT:用于桥梁检查和评估的自主机器人系统
  • 批准号:
    1919127
  • 财政年份:
    2019
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
CAREER: Less Obstructive Vital Evaluation-inspection Robots for Bridges
职业:障碍较少的桥梁重要评估检查机器人
  • 批准号:
    1846513
  • 财政年份:
    2019
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
I-Corps Teams: Development and Commercialization of Bridge Inspection Robotic Systems
I-Corps 团队:桥梁检测机器人系统的开发和商业化
  • 批准号:
    1535716
  • 财政年份:
    2015
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
I-Corps Teams: Drone and Robotic Systems for Civil Infrastructure Inspection and Environmental Monitoring
I-Corps 团队:用于民用基础设施检查和环境监测的无人机和机器人系统
  • 批准号:
    1559942
  • 财政年份:
    2015
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant

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