三电传感器手套用于实时行为识别和在条件自动化车辆中调整接管时间
Xiao Lu1, Haiqiu Tan2, Haodong Zhang3
1School of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China.
Nature communications
|January 27, 2025
概括
本研究介绍了一种智能系统,以提高条件自动化车辆的安全性. 它根据驾驶员的非驾驶行为动态调整接管时间预算,提高性能.
科学领域:
- 人与计算机的互动.
- 汽车工程 汽车工程
- 人工智能的人工智能是人工智能.
背景情况:
- 接管时间预算在条件自动化车辆中的关键作用.
- 固定接管时间预算的限制是由于驾驶员不考虑的非驾驶行为.
- 需要动态调整接管时间预算以提高安全性.
研究的目的:
- 为条件自动化车辆提出智能接管辅助系统.
- 根据实时驾驶员非驾驶行为识别来动态调整接管时间预算.
- 为了提高车辆接管的安全性和稳定性.
主要方法:
- 开发一个带有传感手套的智能接管辅助系统,一个非驾驶行为识别模块和一个接管时间预算确定模块.
- 使用手套中的 triboelectric 传感器来检测手动和物体相互作用.
- 实施一个非驾驶行为识别模块,在六种行为中达到94.72%的准确性.
主要成果:
- 该系统准确地识别了六种非驾驶行为,准确率为94.72%.
- 基于已识别的司机非驾驶行为,动态调整接管时间预算.
- 收购业绩的显著改善,提高了安全性和稳定性.
结论:
- 拟议的智能收购辅助系统有效地解决了固定收购时间预算的限制.
- 基于驾驶员非驾驶行为的接管时间预算的动态调整可以提高条件自动化车辆的安全性和稳定性.
- 该系统对条件自动化车辆的应用和实施具有重大潜力.
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