在自动驾驶汽车交付过程中情况意识的定量分析 在达芬奇研究工具包上
Tamás Levendovics1,2,3,4, Dániel A Drexler1,3, Nikita Ukhrenkov1
1Antal Bejczy Center for Intelligent Robotics, University Research and Innovation Center, Obuda University, Bécsi út 96/B, 1034 Budapest, Hungary.
Sensors (Basel, Switzerland)
|September 19, 2025
概括
这项研究评估了人类驾驶员如何驾驶.
科学领域:
- 人与计算机的交互
- 汽车工程 汽车工程
- 认知心理学 认知心理学
背景情况:
- 自动驾驶技术的进步正朝着3+级自动驾驶的方向发展.
- 在3级自主驾驶中,驾驶员可能会转移注意力,但必须准备好重新掌控.
- 驾驶员的情况意识对于自主系统交付期间的安全至关重要.
研究的目的:
- 在3级自动驾驶中评估交接性能.
- 调查情况意识对驾驶员在关键交接场景中的表现的影响.
- 为了确定更高的情境意识是否会导致紧急干预的更好结果.
主要方法:
- 在模拟驾驶环境中进行了一项用户研究.
- 他们使用了CARLA驾驶模拟器和达芬奇外科系统控制台.
- 分析了驾驶员控制信号和问卷答复.
主要成果:
- 更高的情境意识与驾驶员在交付过程中表现的改善有关.
- 该研究确定了在自主控制到手动控制过渡期间影响安全的关键因素.
- 对控制信号和主观反的分析为交付安全提供了洞察力.
结论:
- 情况意识是3级自动驾驶交接安全的关键决定因素.
- 有效的交接协议需要保持和评估驾驶员的情况意识.
- 需要进一步的研究来优化交付策略以提高安全性.
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