为自动驾驶汽车提供个性化共享控制,考虑驾驶能力和驾驶风格
Bohua Sun1, Yingjie Shan1, Guanpu Wu1
1College of Automotive Engineering, the National Key Laboratory of Automotive Chassis Integration and Bionics, Jilin University, Changchun 130025, China.
Sensors (Basel, Switzerland)
|January 8, 2025
概括
本研究介绍了自动驾驶汽车的个性化共享控制,适应个人驾驶员的能力和风格. 该系统通过将人类因素纳入自动驾驶决策来提高安全性,舒适性和接受性.
科学领域:
- 汽车工程 汽车工程
- 人与计算机的交互
- 控制系统 控制系统
背景情况:
- 共享控制系统旨在通过整合人类和自动驾驶能力来提高自动驾驶汽车的安全性和舒适性.
- 了解和适应个人驾驶员特征对于共享控制系统的接受和有效性至关重要.
- 目前的系统往往缺乏个性化,限制了它们充分利用人类驾驶专业知识的能力.
研究的目的:
- 提出和评估一个个性化的共享控制框架,考虑每个驾驶员的能力和风格.
- 开发模拟人类因素和评估驾驶特征以实现个性化控制的方法.
- 评估个性化共享控制对驾驶安全,舒适性和工作量的影响.
主要方法:
- 开发了一个模拟场景生成方法,结合了人类因素.
- 定义和评估驾驶员的驾驶能力,以改善驾驶权限的分配.
- 通过对意图意识子系统的实地测试,分析和描述驾驶员的驾驶风格.
- 提出基于驾驶能力和风格的个性化共享控制框架.
- 通过在自动化车辆上进行的人在循环模拟和现场测试来评估系统.
主要成果:
- 与非个性化的系统相比,个性化的共享控制系统在各种驾驶能力和驾驶风格中表现出更好的性能.
- 该框架有效地整合了人为因素,提高了驾驶权力分配的合理性.
- 包括安全,舒适和工作量在内的评估标准显示,个性化方法带来了显著的好处.
- 该系统在复杂的场景中被证明是有效的,其性能优于纯粹由人类驱动或自动化系统.
结论:
- 个性化共享控制,考虑到个体驾驶员的因素,显著提高自动化车辆的性能.
- 拟议的框架为开发适应性和以人为中心的自动驾驶系统提供了一种可行的方法.
- 未来的研究应该专注于进一步改进个性化算法,并扩大现实世界的测试.
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