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Processing semantic information from procedural modelling rules for driving simulation

机译:处理过程建模规则中的语义信息以进行驾驶模拟

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摘要

Driving simulators are a safe and cheap way to evaluate automotive user interfaces, which is otherwise often not only very expensive but also dangerous and restricted by laws. But the creation of realistic simulation environments, especially for urban areas, can be very expensive too.So called procedural modelling is an approach to solve this problem by rule-based generation of models. Although there is a lot of information in these rules that could be useful for simulations, this information usually gets lost during the export process.This thesis compares different driving simulators and procedural modelling applications, presents an approach to make use of the information contained in the procedural modelling rules and shows how this information could be processed using CityEngine, a tool for procedural modelling, and OpenDS, an open-source driving simulator.
机译:驾驶模拟器是评估汽车用户界面的一种安全,便宜的方法,否则通常不仅非常昂贵,而且危险且受法律限制。但是创建现实的仿真环境(尤其是在城市地区)也可能非常昂贵。所谓的过程建模是一种通过基于规则的模型生成来解决此问题的方法。尽管这些规则中有很多信息可能对仿真有用,但这些信息通常会在导出过程中丢失。本文比较了不同的驾驶模拟器和程序建模应用程序,提出了一种利用包含在其中的信息的方法。程序建模规则,并显示如何使用程序建模工具CityEngine和开源驾驶模拟器OpenDS处理这些信息。

著录项

  • 作者

    Braun Daniel;

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  • 年度 2014
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  • 原文格式 PDF
  • 正文语种 eng
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