对预测条件自动驾驶中驾驶员接管时间的方法的审查
Haoran Wu1,2, Xun Zhou1,2, Nengchao Lyu3
1College of Automotive Engineering, Hubei University of Automotive Technology, Shiyan 442002, China.
Sensors (Basel, Switzerland)
|November 27, 2025
概括
预测驾驶员接管时间对于自动驾驶汽车的安全至关重要. 本综述综合了方法,影响因素和数据处理,以便更好地进行个性化接管时间预测.
科学领域:
- 人与计算机的交互
- 自主驾驶系统 自主驾驶系统
- 道路交通安全 道路交通安全
背景情况:
- 接管时间的预测对于安全的自动驾驶汽车运行至关重要.
- 目前的预测方法缺乏个性化,无法考虑个人差异.
- 准确的预测支持更安全的接管请求和优化的人机交互.
研究的目的:
- 综合审查接管时间预测方法.
- 确定影响接管时间和数据处理技术的因素.
- 突出个性化预测的研究差距和未来趋势.
主要方法:
- 对接管时间预测进行系统的文献搜索.
- 分析驾驶员,系统和环境因素.
- 评估统计,机器学习和认知模型.
主要成果:
- 在接管时间预测中确定了研究热点和趋势.
- 总结了各种预测模型的优缺点.
- 突出了从模拟器到现实数据的概括性的局限性.
结论:
- 个性化接管时间预测需要进一步的研究.
- 解决个体差异是强大的预测模型的关键.
- 未来的工作应该集中在改善模型的通用性和现实世界的适用性.
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