连接汽车的智能驾驶:分类学,架构,交互技术和未来方向
Fei Gao1,2, Xiaojun Ge1, Jinyu Li1
1College of Automotive Engineering, Jilin University, Changchun 130025, China.
Sensors (Basel, Switzerland)
|August 29, 2024
概括
智能驾驶将车辆转化为相互连接的系统,提高安全性和舒适性. 这篇评论探讨了智能汽车驾驶的人机交互,挑战和未来趋势.
科学领域:
- 汽车工程 汽车工程
- 人与计算机的交互
- 智能运输系统 智能运输系统
背景情况:
- 由于自动驾驶和综合信息共享,汽车正在从交通工具演变为互联智能系统.
- 智能驾驶是智能车辆的关键应用空间,增强驾驶控制,舒适性和信息娱乐.
- 它代表了车辆智能,连接,电气化和共享的融合点.
研究的目的:
- 审查智能汽车驾驶的定义,智能级别,功能领域和技术框架.
- 提出基于核心交互机制的智能驾驶的人机交互过程.
- 总结当前的关键技术,分析挑战,并预测智能驾驶人机交互的未来趋势.
主要方法:
- 关于智能汽车驾驶和人机交互的文献评论.
- 分析当前智能驾驶技术及其功能领域.
- 关于一种新的人机交互过程和未来趋势预测的建议.
主要成果:
- 智能驾驶正在从"人类适应车辆"转变为"车辆适应人类"和相互适应.
- 本文对智能驾驶定义,智能级别和技术框架进行了全面的审查.
- 总结了关键技术的现状,挑战和智能驾驶人机交互的未来趋势.
结论:
- 智能驾驶对于汽车行业升级到智能生态系统至关重要.
- 向自然,相互适应的人-车交互的进化是一个关键趋势.
- 需要进一步的研究和开发来应对当前的挑战,并实现智能驾驶技术的未来潜力.
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