处理复杂的交通场景以实现有效的方向盘和避免碰撞:从人类控制研究的角度来看,城市道路上基于传感器的自动驾驶汽车面临的挑战
1Royal Holloway, University of London, Egham, United Kingdom.
Frontiers in psychology
|March 20, 2024
概括
自动驾驶汽车 (AV) 必须更好地了解人类行为,以便在复杂的城市环境中安全导航. 制定"道路使用者理论"对于自动驾驶汽车来说至关重要,它可以预测并对人类驾驶员,行人和骑自行车者作出反应.
科学领域:
- 人与计算机的互动.
- 机器人技术 机器人技术 机器人技术
- 行为科学是一种行为科学.
背景情况:
- 人类的方向盘和避免碰撞依赖于处理光流和光.
- 人类移动视力系统在复杂的环境中发挥着关键作用.
研究的目的:
- 检查自动驾驶汽车 (AV) 过渡到复杂的城市街道所面临的挑战.
- 为了比较人类和AV处理道路用户交互的情况.
- 建议制定AV"道路使用者理论"的指导方针.
主要方法:
- 对人类视觉处理用于导航的行为研究的审查.
- 分析城市环境中AV交互挑战.
- 人类和AV感知和决策的比较分析.
主要成果:
- 与更简单的道路网络相比,在复杂的城市环境中,自动驾驶汽车面临着重大挑战.
- 当前的AV处理可能无法充分模仿人类视觉处理的微妙交互.
- 需要一个"道路使用者理论"才能使自动驾驶汽车将意图归因于人类道路使用者.
结论:
- 视听控制系统可能需要更紧密地复制人类视觉处理.
- 制定"道路使用者理论"对于安全的AV集成至关重要.
- 为创建能够理解和预测人类行为的AV系统提出了准则.
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