提高条件自动驾驶的安全性:更多的接管请求视觉信息可以在危险场景中产生差异吗?
Wei-Chi Huang1, Lin-Han Fan1, Zi-Jian Han1
1Department of Industrial Design, School of Mechanical Engineering, Southeast University, Nanjing, China.
Accident; analysis and prevention
|June 29, 2024
概括
设计有效的接管请求 (TOR) 对自动驾驶安全至关重要. 根据危险的可见性,在TOR中定制视觉信息可以显著提高驾驶员的性能并减少工作量.
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:
- 自动驾驶系统需要驾驶员在复杂情况下重新控制驾驶.
- 有效的接管请求 (TOR) 设计对于从自动驾驶到手动驾驶的过渡期间的安全至关重要.
- 了解驾驶员对不同TOR设计的反应行为对于改善人机交互至关重要.
研究的目的:
- 调查TOR视觉信息在不同危险可见性条件下对驾驶员接管性能的影响.
- 分析TOR接口元素 (警告,危险方向,碰撞时间) 对驾驶员注意力和工作负载的影响.
- 为不同的危险场景提出优化的TOR视觉接口策略.
主要方法:
- 进行了人体工程学实验,以评估驾驶员对TORs的反应.
- 眼睛跟踪数据被用来分析司机的视觉注意力分配.
- 测量了接管性能,工作负载和人机信任.
主要成果:
- 危险的可见性显著影响收购业绩.
- 提供增强的TOR视觉信息可以提高接管性能,特别是在隐藏的危险场景中.
- 增加TOR视觉信息减少了驾驶员的工作量,并增强了人机之间的信任.
结论:
- 网关设计应适应危险的可见性:公开的危险需要最小的信息,而隐藏的危险则从详细的信息中获益 (方向,碰撞时间).
- 优化的TOR接口可以提高驾驶员在关键接管事件期间的情境意识和决策.
- 未来的自动驾驶系统应纳入适应性TOR策略,以提高安全性和用户体验.
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