A Literature Review of Simulation Fidelity for Autonomous-Vehicle Research and Development

IF 0.3 Q4 ENGINEERING, AEROSPACE
Christopher Johnson, Elan Graupe, Maxfield Kassel
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引用次数: 0

Abstract

This article explores the value of simulation for autonomous-vehicle research and development. There is ample research that details the effectiveness of simulation for training humans to fly and drive. Unfortunately, the same is not true for simulations used to train and test artificial intelligence (AI) that enables autonomous vehicles to fly and drive without humans. Research has shown that simulation “fidelity” is the most influential factor affecting training yield, but psychological fidelity is a widely accepted definition that does not apply to AI because it describes how well simulations engage various cognitive functions of human operators. Therefore, this investigation reviewed the literature that was published between January 2010 and May 2022 on the topic of simulation fidelity to understand how researchers are defining and measuring simulation fidelity as applied to training AI. The results reported herein illustrate that researchers are generally using agreed-upon terms such as physical fidelity, but there is an emerging definition of functional fidelity that is being adopted to replace the concept of psychological fidelity for training AI instead of humans.
自动驾驶汽车研发仿真逼真度的文献综述
本文探讨了仿真技术对自动驾驶汽车研发的价值。有大量研究详细说明了模拟训练人类飞行和驾驶的有效性。不幸的是,用于训练和测试人工智能(AI)的模拟并非如此,人工智能使自动驾驶汽车能够在没有人类的情况下飞行和驾驶。研究表明,模拟“保真度”是影响训练效果的最具影响力的因素,但心理保真度是一个被广泛接受的定义,不适用于人工智能,因为它描述了模拟如何很好地参与人类操作员的各种认知功能。因此,本研究回顾了2010年1月至2022年5月期间发表的关于模拟保真度主题的文献,以了解研究人员如何定义和测量应用于训练人工智能的模拟保真度。本文报告的结果表明,研究人员通常使用商定的术语,如物理保真度,但有一种新的功能保真度定义正在被采用,以取代心理保真度的概念来训练人工智能而不是人类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
SAE International Journal of Aerospace
SAE International Journal of Aerospace ENGINEERING, AEROSPACE-
CiteScore
0.70
自引率
0.00%
发文量
22
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