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A framework for high-resolution geo-specific road database creation based on image processing techniques for driving simulation

机译:基于图像处理技术的高分辨率地理专用道路数据库创建框架,用于驾驶模拟

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摘要

Geo-specific road modeling is an important aspect of driving simulation studies. A challenge in this operation is that it requires intensive manual work to collect data, interpret data, and create 3D models. Each of these components is time consuming. In this research, we propose a framework for fast geo-specific road modeling based on high-resolution aerial photos. This framework has been experimented on a real driving simulator.
机译:特定于地理的道路建模是驾驶模拟研究的重要方面。此操作的挑战在于,它需要大量的人工工作来收集数据,解释数据和创建3D模型。这些组件中的每一个都是耗时的。在这项研究中,我们提出了一个基于高分辨率航拍照片的快速地理道路建模框架。这个框架已经在真实的驾驶模拟器上进行了实验。

著录项

  • 来源
    《Advances in Engineering Software》 |2009年第9期|820-829|共10页
  • 作者单位

    U.A. Whitaker School of Engineering, Florida Gulf Coast University, 10501 FGCU Blvd. S.. Fort Myers, FL 33965-6565, USA;

    School of Electrical Engineering and Computer Science, University of Central Florida, Orlando. FL 32816, USA;

    School of Electrical Engineering and Computer Science, University of Central Florida, Orlando. FL 32816, USA;

    Transportation Safety Research Director, University of Tennessee at Knoxville. Knoxville, Tennessee 37996-2010, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    image processing; road database; the united states geographical survey;

    机译:图像处理;道路数据库;美国地理调查;

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