仿真环境中车辆运动预测的框架

Juan Felipe Medina Lee, Vinicius Trentin, J. Villagrá
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引用次数: 5

摘要

对高度自动化车辆的软件组件进行有效的测试和验证是其大规模部署需要解决的关键挑战之一。驾驶情况和环境变量的数量使得在开放道路上的真实车辆验证几乎难以进行,并且只能通过仿真来实现测试的再现性。这篇手稿提出了一个框架和初步结果,在模拟环境中,目前正在开发的车辆运动预测由AUTOPIA计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Framework for motion prediction of vehicles in a simulation environment
Efficient testing and validation of software components for highly automate vehicles is one of the key challenges to be solved for their massive deployment. The number of driving situation and environment variables makes validation almost intractable with real vehicles in open roads, and the testing reproducibility can only be achieved via simulation. This manuscript presents a framework and preliminary results for motion prediction of vehicles in a simulation environment that is being currently developed by the AUTOPIA Program.
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