用共享控制算法进行侧向逃避机动:模拟器研究
Joseba Sarabia1,2, Mauricio Marcano1, Sergio Díaz1
1TECNALIA, Basque Research and Technology Alliance (BRTA), Astondoa Bidea, Edificio 700, 48160 Derio, Spain.
Sensors (Basel, Switzerland)
|January 23, 2024
概括
共享控制算法通过帮助驾驶员在危急情况下提高自动化车辆安全. 这项研究证实了它们的有效性和用户接受,即使驾驶员注意力分散,也为现实世界的整合铺平了道路.
科学领域:
- 人与计算机的互动.
- 自动驾驶系统自动驾驶系统
- 车辆动力学和控制系统
背景情况:
- 共享控制算法促进了人类驾驶员和车辆中的自动化系统之间的实时合作.
- 虽然理论上的好处是已知的,但由于人类参与了控制循环,对有效性和用户接受的现实世界示范至关重要.
研究的目的:
- 评估共享控制算法的性能,安全性和用户接受度在关键侧向机动模拟中.
- 评估算法的能力,以帮助避免相对的摩托车车道入侵.
- 分析不同辅助级别和驾驶员状态 (专注与分心) 对共享控制系统的影响.
主要方法:
- 基于模拟器进行了一项研究,以评估共享控制算法.
- 收集了客观措施 (避免碰撞,防止出轨) 和主观措施 (驾驶员安全,舒适).
- 测试了三个辅助级别 (温和,中等,攻击性) 和两个驾驶员状态 (专注,分心).
主要成果:
- 共享控制算法在关键车道入侵摩托车场景中有效地协助驾驶员.
- 客观性能指标表明,成功避免碰撞和维护车道.
- 主观反表明,根据辅助强度和驾驶员状态,用户接受和舒适度的水平有所不同.
结论:
- 共享控制算法显示,在提高自动驾驶汽车的安全性方面,有很大的前景.
- 该研究提供了经验证据,支持在关键场景中共享控制的有效性和用户接受.
- 这些发现有助于为未来的自动化汽车开发和实施共享控制系统.
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