通过视觉听觉提示引导驾驶员注意力，提升对未知危险的感知能力。
Saliency-Based Attention Shifting: A Framework for Improving Driver Situational Awareness of Out-of-Label Hazards
- 结合眼动追踪与显著性分析，实时判断驾驶员注意力焦点。
- 用同步视听警报主动引导注意力，减少对特定目标的过度关注。
- 适用于半自动驾驶中接管场景，帮助司机快速识别突发危险。
自动驾驶系统有望通过提升安全性、效率和舒适性彻底改变交通。随着技术向更高自动化水平演进，人类在决策中的无缝参与变得愈发关键。某些场景下，车辆无法识别环境中的物体或元素，必须依赖人工干预。因此，在接管操作中保持驾驶员的情境意识至关重要，以避免碰撞并确保平稳过渡。本文探讨了注意力重定向技术，如通过定向视觉和听觉提示操控驾驶员视线，帮助其持续关注潜在威胁，减少目标锁定现象。我们提出一个概念框架，融合实时眼动追踪、上下文感知的显著性分析以及同步的视听警报，以增强情境意识，主动应对潜在风险，并促进人机协同高效运作。
原文摘要 · Abstract (English)
The advent of autonomous driving systems promises to transform transportation by enhancing safety, efficiency, and comfort. As these technologies evolve toward higher levels of autonomy, the need for integrated systems that seamlessly support human involvement in decision-making becomes increasingly critical. Certain scenarios necessitate human involvement, including those where the vehicle is unable to identify an object or element in the scene, and as such cannot take independent action. Therefore, situational awareness is essential to mitigate potential risks during a takeover, where a driver must assume control and autonomy from the vehicle. The need for driver attention is important to avoid collisions with external agents and ensure a smooth transition during takeover operations. This paper explores the integration of attention redirection techniques, such as gaze manipulation through targeted visual and auditory cues, to help drivers maintain focus on emerging hazards and reduce target fixation in semi-autonomous driving scenarios. We propose a conceptual framework that combines real-time gaze tracking, context-aware saliency analysis, and synchronized visual and auditory alerts to enhance situational awareness, proactively address potential hazards, and foster effective collaboration between humans and autonomous systems.
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