在单个模拟运行中评估多个场景的方法,用于自动化车辆评估
Inyoung Kim1, Donghyo Kang1, Harim Jeong2
1Department of D.N.A. Convergence, Ajou University, Suwon 16499, Republic of Korea.
Sensors (Basel, Switzerland)
|October 14, 2023
概括
这项研究引入了一种新方法,将个别驾驶模拟结合到连续场景中. 这种方法可以提高整个道路段的自动驾驶系统 (ADS) 的全面安全评估.
科学领域:
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
- 运输技术 运输技术 运输技术
背景情况:
- 自动驾驶系统 (ADS) 的安全性越来越多地使用模拟来评估.
- 目前的方法通常依赖于孤立的,单个场景池进行测试.
- 在使用单个场景全面评估复杂的ADS性能方面存在局限性.
研究的目的:
- 提出一种新的方法,用于将单个模拟场景结合并转化为多个连续的场景.
- 为了使整个道路段的ADS性能能够持续评估.
- 在模拟环境中实现这种方法,以便在实践中应用.
主要方法:
- 开发一种方法来合并和调整单个驾驶模拟场景.
- 将离散场景转化为一个连续的,集成的测试方法.
- 在模拟平台中实施联合场景方法.
主要成果:
- 成功开发了一个创建扩展,多场景模拟的框架.
- 该方法允许在各种道路和交通条件下持续评估ADS行为.
- 与单个场景测试相比,这种方法可以更彻底地评估ADS能力.
结论:
- 拟议的方法在评估自动驾驶系统安全方面取得了重大进展.
- 将单个场景结合为连续场景,可以提供更现实的,更全面的绩效评估.
- 这种方法对于复杂的自动驾驶系统的持续开发和验证至关重要.
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